Top Fortune 500 Companies Using Microsoft Dynamics 365 in 2026

Top Fortune 500 Companies Using Microsoft Dynamics 365 in 2026

by Technology

The market for enterprise technology is one of the most highly competitive in the entire world. The vendors fight over the next large contract, and the businesses that sell into this sphere have equally fierce competition for the next qualified lead.

However, under all of this competition lies an equally significant issue: finding out exactly which enterprises use what platform. It is difficult to identify potential clients regardless of the industry. But it is especially challenging to do when working in the enterprise technology sector, where many businesses prefer to keep private information regarding their tech stack.

This is where a data-driven approach plays a role. At LogiChannel, we have a great deal of experience with technographic intelligence to help B2B sales and marketing professionals find out who uses what software in large quantities.

Today, in this blog, we will discuss Microsoft Dynamics 365. We will consider the features of this tool, the reasons why enterprises choose this software, its popularity among organizations, and the famous companies that are confirmed to use it now. If you want to get more information than in a few examples, feel free to explore our Microsoft Dynamics 365 Users List.

Understanding Microsoft Dynamics 365

However, the age of digital transformation can be considered something from the past, as it is the norm nowadays for any business.

Companies in practically all industries are switching to integrated platforms, where sales, finance, operations, and customer service come together into one united picture of a business.

Such a trend has been the driving force behind the boom in ERP and CRM platforms. Organizations are no longer satisfied with disjointed spreadsheets, old-fashioned databases, and other solutions that only fragment their operations. Instead, they look for a single platform that will give a complete picture of what is going on in a company at any time.

One of such systems that have proven themselves successfully is Microsoft Dynamics 365. This system is a native ERP and CRM platform, which gains popularity among various types of organizations at a very fast rate due to its integration with such common programs as Microsoft 365, Azure, and Power BI.

What is Microsoft Dynamics 365

Microsoft Dynamics 365 is an intelligence suite of business applications developed by Microsoft.

This bundle integrates CRM and ERP into one modular cloud-based platform.

Traditional systems used,

Unlike traditional systems that lock businesses into their system and do not offer flexibility in choosing applications, Dynamics 365 allows you to choose the applications you need first, such as Sales or Customer Service, and add new modules like Finance, Supply Chain Management, or Field Service, depending on your growth.

The software is developed using various products offered by Microsoft, such as Dynamics AX, Dynamics NAV, and Dynamics CRM, which have been combined to come up with Dynamics 365. It is regarded as one of the artificial intelligence platforms that compete with other major players in the market like Salesforce, SAP, Oracle, and NetSuite.

With knowledge about what Microsoft Dynamics 365 is, it is now important to understand why the application has become so popular among businesses.

Reasons Why Companies Opt For Microsoft Dynamics 365

Here are some of the reasons why Dynamics 365 is favored over other similar systems.

1) Native Microsoft Integration

Those organizations which have worked on Microsoft 365, Microsoft Teams, and Azure will find that Dynamics 365 is an extra feature which is not available alone. It is very easy to perform data exchange from Outlook, Excel, Power BI, and Dynamics 365 as compared to when there is integration with some third-party system.

2) Scalability

Businesses may use just one application out of Dynamics 365, such as Dynamics 365 Sales, and then move on to using Finance, Supply Chain Management, or Human Resources. This makes it very favorable for companies of all sizes, from small to enterprise size.

3) Combines ERP and CRM capabilities

Many vendors either offer only a Customer Relationship Management tool or a business management tool (ERP). Dynamics 365 combines both.

4) AI and Analytical Capabilities Built Into the Software

Through its built-in Copilot capability, Dynamics 365 is becoming more and more of an AI-driven platform instead of a traditional record of business systems. Sales departments will have deal insights, finance departments will have support for forecasting, and customer service departments will receive support for case summarization without ever having to leave the software.

5) Comprehensive Functionality Range

Dynamics 365 offers a vast selection of business capabilities that include the following:

Sales & Marketing

  • Lead and opportunity management
  • Sales forecasting
  • Campaigns and marketing automation

Customer Service

  • Case management
  • Omnichannel
  • Field service management

Finance & Operations

  • Financial management and reporting
  • Inventory management and supply chain
  • Project management

Analytics & AI

  • Integration with Power BI
  • Insights provided by Copilot
  • Forecasting

Given such functional variety, it might be reasonable to ask about the success of the software itself.

How Successful is Microsoft Dynamics 365

It can be seen from these figures that momentum is clearly established. According to Research and Markets The world  Microsoft Dynamics market has grown from about $11.37 billion in 2025 to $12.71 billion in 2026 and further throughout the decade, driven by rising adoption of native cloud ERP and CRM systems among organizations.

Specifically, on the CRM front, Dynamics 365 has carved out a niche within an increasingly competitive landscape. According to recent industry tracking, Microsoft’s CRM solution enjoys about 5.2% market share with a year-over-year revenue growth of 23% in the last FY25 period, positioning the product in the tier immediately following Salesforce.

On the ERP side, third party sites have shown that Microsoft Dynamics had attracted more than 61,805 customers in 2026, within that 47% of customers are located in the US.

The enterprise adoption rate deserves mention too. The independent studies done by technology usage reveal that about 20% of the customers of Microsoft Dynamics 365 are enterprises that have more than 1,000 people, while 13% have more than a $1 billion revenue. 

This might be a less enterprise adoption rate than what its competitors would have you believe, but it is still a substantial one for enterprises that use the software for their critical activities.

One thing is for sure – Microsoft Dynamics 365 is not just a specialized software. Some of its users are retailers, manufacturers, airlines, financial institutions, and consumer goods enterprises, many of which are globally recognized. Some of them are:

Top Companies Using Microsoft Dynamics 365 in 2026

Not all major businesses document their entire stack of software components; this is why such documentation becomes particularly relevant. The following businesses have been positively identified as being Dynamics 365 customers through Microsoft customer success stories and other publicly available sources.

Company NameIndustryHeadquartersRevenue(approx.)Employees (approx.)
The Coca-Cola CompanyFood & BeverageAtlanta, GA, USA$50.1 Billion10K+
Ford Motor CompanyManufacturingMichigan, United States$189.9 Billion10K+
NetflixBroadcastingCalifornia, United States$48.4 Billion10K+
CVS HealthInsuranceRhode Island, United States$415.1 Billion10K+
IntelComputer Equipment & PeripheralsCalifornia, United States$57 Billion10K+
AdobeMultimedia, Games & Graphics SoftwareCalifornia, United States$26 Billion10K+
T-MobileTelecommunicationsWashington, United States$90.5 Billion10K+
UnitedHealth GroupInsuranceMinnesota, United States$450.1 Billion10K+
Procter & Gamble(P&G)Cosmetics, Beauty Supply & Personal Care ProductsOhio, United States$87 Billion10K+
Johnson & Johnson VisionManufacturingFlorida, United States$270.9 Million501-1,000
IBMBusiness ServicesNew York, United States$69.1 Billion10K+
Jones Lang LaSalleReal EstateIllinois, United States$27.4 Billion10K+

The revenue and number of employees mentioned above are estimates and have been taken from recent annual filings and reports by the companies themselves; they do change year on year and are based on currency reporting.

Want to Explore More Companies Using Microsoft Dynamics 365 With Their Contact Details?

Access Microsoft Dynamics 365 Customers List

How Fortune 500 Companies Use Microsoft Dynamics 365

Examining how global corporations configure Microsoft Dynamics 365 exposes the tactical realities behind their technology investments:

Case Study 1: The Coca-Cola Company & Global Bottling Ecosystem

  • The Operational Problem: The Coca-Cola Company is a federated bottler company which focuses on the centralized management of brand strategy while collaborating with thousands of independent bottling partners that are responsible for local delivery fleets, retail merchandising, and warehouse fulfillment. Forcing the whole global network into one huge monolithic system was impossible.
  • The Dynamics 365 Solution: As noted in customer success stories on the official Microsoft website, bottling partner Coca-Cola HBC transformed its commercial business by implementing Dynamics 365 Sales, Customer Service and Customer Insights (connected to SAP through Dataverse) to connect customer data and drive efficiencies in marketing and service processes.
  • The Result: Better visibility into customer activity, the ability to simplify order processing, and harmonized engagement information for regional commercial groups, without interfering with the core corporate ledgers.

Case Study 2: HP Inc. — Scaling Customer Service Automation

  • The Operational Problem: HP builds millions of personal computers, printers and enterprise computing systems around the world, and receives millions of customer support calls each year. Supporting so many calls in traditional call centers was becoming more expensive and time-consuming.
  • The Dynamics 365 Solution: HP implemented a historic Dynamics 365 Customer Service AI solution, using conversational virtual agents to walk customers through automated diagnostic flows, and route more complicated technical issues directly to engineers, with prepopulated hardware telemetry and warranty data.
  • The Result: Scale to service large volumes of customer requests, increase first contact resolution scores and improve customer satisfaction scores across your enterprise support types.

Case Study 3: Ford Motor Company — Mixed Reality Field Servicing

  • The Operational Problem: The shift to modern automotive manufacturing new software defined cars, electric drivetrain, and sensor architecture has created greater need for the local servicing technician to receive engineering support. The need for physical travel and conventional, back-and-forth conversations causes service delays, and backlog, to the worldwide dealership network.
  • The Dynamics 365 Solution: Remote Assist with Microsoft HoloLens 2 mixed-reality headsets. Service line technicians can bring up 3D holographic schematics and consult with remote engineering specialists, regardless of their location on the globe.
  • The Result: Faster repair cycle times, less equipment downtime, and less travel lag for support engineers between service locations.

Case Study 4: CVS Health — Enterprise Healthcare & Pharmacy Operations Enablement

  • The Operational Problem: As it expanded to operate across the country with thousands of retail pharmacies, Minute Clinics, and healthcare channels, CVS Health encountered the challenge of having customer and patient data dispersed across large, siloed information systems.Managing care plans, responding to clinical questions, and running prescription benefit programs involved using existing legacy systems and communications methods.
  • The Dynamics 365 Solution: Service and Customer Insights to combine the experience with the operational process. Dynamics 365 was selected due to its secure cloud foundation, its compliance with healthcare data regulations (i.e., HIPAA), and native integrations with Microsoft Cloud.
  • The Result: Customer service agents had a single, end-to-end view of patients. Resolution times were cut dramatically; first-call resolutions improved; and patient support efforts became more flexible and personalized across the board.

Companies Using a Different ERP & CRM Platform

It’s true that not all companies go for Dynamics 365, and that’s something worth mentioning right off the bat. The competition in terms of enterprise software is quite significant, and there are several major competitors.

Firstly, Salesforce is still one of the most widely used CRM platforms worldwide, thanks to its huge library of third-party apps on its AppExchange and extensive customization possibilities.

Then there’s SAP, which leads in terms of big enterprises with lots of processes, such as manufacturers and logisticians, because of its ERP depth and extensive experience configuring software for specific industries.

Another choice is Oracle for those companies that value integration of ERP, databases, and cloud services provided by one vendor.

For rapidly growing mid-market companies that prefer cloud ERP without having to deal with complex implementations of old systems, there’s NetSuite, an Oracle product.

Finally, HubSpot is good for smaller firms with a preference for an easier learning curve and lower initial cost compared to enterprise CRM systems.

In essence, there are only a few considerations when choosing a platform:

  • Costs and total cost of ownership
  • Customization requirements and needs, especially industry-specific work processes
  • Scalability as the company expands into other markets or other industries
  • The existing technological base, especially for companies entrenched within Microsoft or Salesforce technology

This is precisely why technographic information becomes crucial. It will help you understand not only if you can sell something but also how.

Conclusion

The popularity of Microsoft Dynamics 365 in the market has been gained because of its combination of the CRM and ERP solutions into one package, along with extensive integration of the platform into the Microsoft ecosystem and increasing range of artificial intelligence features provided by Copilot. 

These companies, ranging from the bottlers of Coca-Cola to the sales forces of Rockwell Automation, are a good illustration of the broad usage of Microsoft Dynamics 365 in many industries and business functions.

When addressing decision-makers from such companies in the B2B field, technographic data becomes an integral part of the process. Technographic data allows a company to address specific needs of its clients. That is why it is important to have a verified list of companies using Microsoft Dynamics 365 at hand.

For those who want to go further than just a few samples of publicly available information, it is recommended to check out the Microsoft Dynamics 365 Customers List provided by LogiChannel to see the real verified contact information of those organizations.

FAQs of Companies Using Microsoft Dynamics 365

There is no exact number due to the variations in sources and definitions, but estimates indicate that tens of thousands of companies are already using Microsoft Dynamics 365 as an enterprise resource planning solution alone, while tens of thousands more have adopted its customer relationship management solutions.

Some of those that can be named for sure are Rockwell Automation, JLL, The Coca-Cola Company, Mercedes-Benz, T-Mobile US, BNY Mellon, HP Inc., and L’Oréal. It should be noted that there are many large enterprises out there that are not revealing all of their tech stack publicly.

It is not appropriate to say that either of them is “better”. The market share of Salesforce is much higher than that of Dynamics 365, and Salesforce has a richer app ecosystem. Dynamics 365 is generally preferred by companies who use Microsoft 365, Azure and Power BI as well as by those who need both CRM and ERP integrated in one single platform.

The most commonly used sectors include manufacturing, IT & technology services, financial services, retail and consumer goods mainly due to their utilization of the platform in terms of its integrated supply chain, finance and customer experience capabilities.

  • Stripe
  • Adyen
  • Payoneer
  • SoFi
  • Robinhood
  • Klarna
  • Affirm
  • Plaid
  • Marqeta
  • Brex
How BDRs Can Identify Companies Planning ERP or CRM Migration

How BDRs Can Identify Companies Planning ERP or CRM Migration Before Anyone Else

by Technology

Here is the situation most BDRs know too well. The company contacts you, and you have a fairly good discussion with them, only to find out later that they had already entered into an agreement with your rival three weeks back.

It is unfortunate, however, since this company could have completely avoided this since the implementation of their new ERP system was not something that happened on a whim. This had taken many months of internal discussions, preparation of a business case, budget approval, and vendor evaluation without an RFP or even a telephone call. The signals were there. Nobody on your side was watching for them.

The BDRs who consistently outperform their peers are not necessarily better at selling. They are better at timing. They get into conversations earlier when the internal champion is still building their case, when no one has been shortlisted, and when a trusted vendor relationship can genuinely shape the direction of a decision. That is the window this guide is designed to help you find.

The following is an implementation-oriented list of the top twelve signs showing a company’s interest in ERP or CRM migration, how you can discover those signs via open-source materials, and what accounts to pursue first of all. No fancy theories, just the practices proven to work.

Why Timing Is More Important Than Outbound Prospecting.

Buyers’ journeys for enterprise software are lengthy, far beyond what salespeople typically assume. The average selection and implementation of an ERP software package takes about 12 to 24 months, from the initial internal discussion to go live. CRMs change faster, although the process is still very slow and rarely takes place within six months since the decision to replace a system was made.

The length of this process presents a challenge to BDRs, who base their actions on clear signals of intent, a posted RFP, a request for demonstration, or the mention of another vendor in the market. By the time these signals appear, the buying team has already been assembled, champions have already expressed their preferences, and other vendors who had the early access are already deeply entrenched in the process.

Engagement early on makes all the difference. Engaging during the discovery stage before requirements have been formalized is not engaging in a battle between three other companies on your shortlist. It is talking business with someone who doesn’t yet know what he needs.

The first-contact advantage is true. The vendor who aids the company in articulating its needs is likely to land on the shortlist automatically not for being better at products but simply because of time and relevancy factors. The BDRs who realize this switch their focus from hunting buyers to finding them.

Understanding the ERP and CRM Migration Journey

It will be easier for you to identify these early indicators if you know the typical process that a business follows prior to purchasing new enterprise software. There is a definite process in place when it comes to buying decisions, although the rate may differ from company to company.

Operational Problem Emerges: Something isn’t working. Reports take too long. Finance can’t close the books efficiently. Sales data doesn’t match what the CRM says. These conversations happen internally, usually starting at the team level and gradually reaching leadership.

Internal Discussion Begins: The issue is clearly stated. This is typically done by an unhappy department manager or even a recently appointed executive. Business case papers begin getting written up. The IT department is brought in.

Budget Authorization: A formal decision is taken on how much to spend on the solution. This is linked to the annual budgets, which is why there are peaks in ERP hiring during Q1 and Q3.

Vendor Research: The team starts looking at what is available. This is usually informal at first: analyst reports, peer recommendations, G2 reviews, and conversations at industry events.

Requirements and Shortlisting: A formal requirements document gets built. Vendors get evaluated. The shortlist forms usually have three to five options.

Demos, Negotiations, Decision: The final evaluation happens. Procurement gets involved. Contracts are negotiated.

Migration and Go-Live: Implementation begins. This is the phase most vendors see. It’s also far too late for BDRs who weren’t involved earlier.

The ideal entry point for a BDR is somewhere between Stage 1 and Stage 3 — when internal discussions are underway but no vendor has been formally engaged. That window is identifiable if you know what to look for.

The 12 Early Signals That Reveal Migration Intent

Each of the following signals is observable using public information. None requires a paid intelligence tool, though some tools make the process faster. The key is not to rely on a single signal; it is to watch for clusters of signals at the same account.

Signal #1: The Talk Has Begun About Digital Transformation

Watch for terms such as “operational efficiency,” “unified data,” and “scalable infrastructure” being used by a CEO in interviews, in annual report releases, and on their LinkedIn page. It is typically one of the early indicators that an internal discussion has started about digital transformation.

Where to look: earnings calls, investor days, CEO interviews, and LinkedIn pages of the company. The public companies make available quarterly earnings calls along with complete transcripts, which serve as gold mines for the BDRs when targeting mid-market and enterprise-level prospects.

Example: The CEO of a manufacturing company says in the Q3 earnings call that ‘we are investing in digital infrastructure for our next phase of growth.

That is not vague; that is a buying signal with a budget attached.

Signal #2: Recruitment of ERP, CRM, or Digital Transformation Professionals

Job openings are among the most underutilized prospect research tools in B2B sales. When a business puts up an ad for an ERP project manager, a CRM administrator, a digital transformation manager, or an enterprise architect, they are not merely hiring a staff person; they are recruiting people to work on a project that has already been internally approved.

Organizations do not recruit ERP project managers just like that. The decision to initiate an initiative has already been made at the time of recruiting. The internal decision has often already been made or is weeks away from being made.

Identifying opportunities: Job alert notification setup through LinkedIn, Indeed, and Glassdoor with keywords such as “ERP,” “CRM,” “implementation,” or “digital transformation” added to your list of top 50 target accounts. Regularly review the career pages of companies directly using their respective websites.

Signal #3: New Executive Hires Especially CIO, CTO, or VP of IT

There is a phenomenon that all seasoned BDRs are familiar with: a new tech executive joins the firm and, before 12 to 18 months have elapsed, the old ERP or CRM system gets upgraded.

The new chief information officer (CIO) and chief technology officer (CTO) are appointed for this exact reason. They often come with pre-conceived ideas on what the platform should be, based on their previous experience. Furthermore, they have the desire to make a quick impression, and overhauling an outdated technology system is one of the best ways to achieve this goal.

A new VP of Sales inheriting a CRM they didn’t choose is an equally reliable signal for CRM replacement. Monitor LinkedIn for C-level and VP-level hiring within your target companies. The time frame of three months after the appointment of the new executive can be the most responsive to communication.

Signal #4: Expansion, Acquisition, or Merger of the Company

Growth creates system strain. In case an organization buys another business, enters new markets, or builds more branches, the ERP system or the CRM system is the first one that tends to reveal signs of breakdown. Reporting becomes inconsistent, finance teams struggle to consolidate, and sales data fragments across disconnected platforms.

Mergers are particularly powerful triggers. Two companies merging almost always means two different ERP systems, and running parallel systems indefinitely is expensive and operationally unsustainable. ERP consolidation usually becomes a priority issue about six months to two years after merger completion.

Sources of Information: Press releases from the company itself, PR Newswire, Merger (a website to track mergers and acquisitions), and LinkedIn news of companies. Make a Google Alert for “[company name] acquisition” or “[company name] expands.”

Signal #5: Aging of Current ERP Applications

Software end-of-life notices mean that companies are going to either migrate into another system or upgrade. As soon as a certain platform decides to stop supporting a particular version by a certain deadline, every company with such a version has to choose between upgrading and migrating into another solution.

Examples of platforms doing so: SAP end-of-life notices concerning ECC to S/4HANA migration (SAP has already moved its S/4HANA support date till 2027); Oracle end-of-life notices for some modules of E-Business Suite; and Microsoft ending support dates for Dynamics versions.

The most underserved ERP applications are legacy Siebel CRM, ACT!, and SugarCRM deployments.

Signal #6: Cloud Transformation Initiatives

Cloud migration and the replacement of legacy ERP or CRM systems need not necessarily be two distinct considerations. More often than not, the decision to migrate to the AWS or Azure cloud environment also brings along with it the opportunity to implement legacy on-premises ERP systems.

If there is ever mention made in a press release, conference, or even in a job posting about a ‘cloud-first’ strategy, then it may be wise to ask oneself, which enterprise systems are they moving over to that cloud, and which of these systems can actually be replaced instead of migrated?

The signal: Cloud architects being hired alongside infrastructure roles. Search for postings where the term “cloud-first” is used with ERP, finance system, or data consolidation.

Signal #7: Increased IT Budget or Technology Investment

When an organization announces in public any increase in IT investment through its annual report, earnings call, or press release, it is a clear indication that the spending on technology has been approved by the board. What needs to be asked by the BDRs is where that budget is going?

For public companies, annual reports and investor presentations are freely available on their IR pages and often include explicit references to technology priorities for the coming year. In the case of private corporations, interviews with CFOs or CEOs in the media may be forward-looking about investments in infrastructure.

Signal #8: Integration Problems Start to Emerge

If a company is in the process of hiring API programmers, middleware architects, or integration specialists, this may be a sign that they are attempting to integrate applications that can’t communicate with one another, and that this is a symptom of an outgrowing software platform.

This is worth monitoring carefully, because it cuts two ways. Some companies invest in integration as a stop-gap to buy time before a bigger replacement. Others realize through the integration project that a wholesale platform replacement is actually cheaper than continuing to patch the existing environment. Both scenarios create a buying conversation.

Signal #9: Change in Tech Stack

A company transitioning to a different cloud provider, adopting a new business intelligence platform, or extending their use of Microsoft or Salesforce may well be making changes in their technology strategy overall, including ERP/CRM decisions.

The transition of a company from Google Workspace to Microsoft 365 is usually followed by a greater interest in Microsoft Dynamics or Azure solutions.

A company expanding its Salesforce footprint by adding Marketing Cloud or Service Cloud is a natural prospect for conversations about Salesforce’s ERP adjacencies or the broader CRM consolidation opportunity.

Tools like BuiltWith, HG Insights, and Datanyze let you see the technology stack a company is currently running and, importantly, changes to that stack over time. A company that recently adopted Azure and dropped a legacy middleware tool is showing you something meaningful.

Signal #10: The Consultants Are Here.

However, if someone from Deloitte, Accenture, PwC, or EY has added this mid-market company as their client in LinkedIn, then it is certain that something big is happening here. If one of these big four consulting firms is working with this company, then most probably they would be doing any of the below-listed three things.

By the time a Big 4 firm is engaged, the company has already decided to act; they are now getting help with vendor selection. If you have not started your discussions with the internal champion yet, you only have limited time left.

How to identify them: Look up LinkedIn to find employees from big consulting companies that mention your target firm as work experience.

This works surprisingly well for mid-market accounts where project teams are small enough that individual consultants update their profiles.

Signal #11: Employees Publicly Discuss Operational Challenges

People talk. Especially on LinkedIn. When a VP of Finance writes a post about the challenges of month-end close. When an IT director publishes a reflective post about legacy infrastructure. When a sales ops manager comments on a thread about CRM adoption, these are signals.

They are soft signals, and they require judgment. But combined with other indicators, they can tell you that the internal conversation about change is already happening — and that someone is emotionally engaged enough in the problem to talk about it publicly. That person is worth reaching.

Signal #12: Competitors in the Same Vertical Have Already Migrated

Industry dynamics matter. When a leading manufacturer migrates to SAP S/4HANA and publishes a case study about the results, their industry peers take notice. No CFO wants to be the last company in their vertical running a system that competitors have moved past.

ERP and CRM adoption tends to move in waves within industries. When one significant player in a vertical modernizes and the results become public, it often triggers a round of evaluation conversations across the industry. BDRs who track vendor case studies and customer announcements can use this to identify which companies in a vertical are still running legacy systems and are therefore likely to feel increasing competitive pressure to act.

Where Can BDRs Find These Signals?

Being able to identify what one should be looking for is easy. The key to being an efficient prospector lies in knowing where to search without dedicating six hours every day to research. Here is a helpful guide:

SignalWhere to Find It
Executive recruiting (CIO, CTO, VP IT)Use LinkedIn’s advanced search filter for companies and look for recruits within the last 90 days
Recruiting ERP / CRM specialistscompany careers site, LinkedIn Jobs, Indeed, Glassdoor
Technology stack deployedBuiltWith, HG Insights, Datanyze, Slintel
Funding and financing eventsCrunchbase, PitchBook, TechCrunch, press releases
Merger & acquisitionsCompany press sites, PR Newswire, Mergr
Financial and annual reportsCompany investor relations sites, SEC Edgar (USA), Companies House (United Kingdom)
Cloud adoption signalsPress releases, LinkedIn company updates
Digital transformation initiativesinterviews with the CEO, earning calls (seekingalpha.com and motleyfool.com transcripts)
Directories of ERP/CRM partnersSAP Partner Finder, Oracle Partner Network, Salesforce AppExchange

The best-performing BDRs utilize 2 or 3 out of these 4 channels on a regular basis, once a week, as opposed to looking at all of them sporadically. Consistency is more important than completeness when it comes to early signal detection.

How to Prioritise High-Intent Accounts

Not every signal deserves the same level of response. A single job posting does not warrant the same urgency as a new CIO hire combined with a cloud transformation announcement and an ERP-related job posting all at the same account within the same 30-day window. The approach that works best is a simple numerical scoring model. Assign point values to different signals based on their historical correlation with buying activity, then prioritize accounts based on cumulative score rather than responding to signals individually.
SignalScore Priority
New CIO, CTO, or VP of IT hired20 Critical
ERP / CRM Project Manager role posted20 Critical
Digital Transformation announcement (press, annual report)15 High
Cloud migration initiative announced15 High
Merger, acquisition, or new market entry10 High
New funding round closed10 Medium
Technology stack changes detected (Azure, AWS, Salesforce)10 Medium
Consulting firm (Big 4) engagement visible on LinkedIn8 medium
Legacy ERP/CRM end-of-life approaching8 Medium

An account scoring 40 or above across multiple concurrent signals should go to the top of your outreach queue immediately. An account scoring 20 or below warrants monitoring but not immediate heavy engagement.

The key insight is that signals compound. One signal is a data point. Three signals at the same account within 60 days is a buying pattern, and that deserves real attention.

Outreach Strategies That Work Before Competitors Arrive

Start Conversations, Don’t Start Product Pitches

The single biggest mistake BDRs make when they identify an early-stage opportunity is leading with the product. A company that has just hired a new CIO does not want to receive an email saying, ‘I see you recently hired a new CIO. Our ERP solution is perfect for companies like yours. “That email ends up in the bin.

Early-stage outreach must show that you get their problem, not that you know the answer. The distinction may seem slight, but it makes all the difference.”

What works: Reference the specific signal you observed. Make it relevant. Offer something useful before asking for anything.

  • Reference what you noticed: ‘I saw you recently announced a cloud infrastructure initiative. We work with a lot of manufacturing companies navigating that transition and…’
  • Instead of stating a proposition, pose the following question: ‘Are you at the point where ERP alignment becomes a part of that discussion or do you think it’s mainly an infrastructure project at this point?’
  • Provide some insight first before requesting time Provide something interesting, such as a link to a useful resource, an observation on what your competitors are going through, or some information.
  • Personalization, specifically generic personalization (‘I love your company’s mission!’), is immediately recognizable and counterproductive. Specific personalization (‘I noticed you’re expanding into three European markets this year; that usually creates some ERP complexity around localization…’) shows you’ve actually done your homework.

The goal of first contact at this stage is not to book a demo. It is to establish that you are a credible, informed person worth talking to. The meeting comes from that, not from a product pitch.

Common Mistakes BDRs Should Avoid

The majority of errors in ERP and CRM prospecting stem from being impatient, over-targeting, or lack of understanding of the buying committee process.

  • Wait until they send an RFP – By the time there’s an RFP, the list of vendors to consider is probably already known informally. The responses to an RFP are usually a mere formality.
  • Targeting IT only – There’s more to ERP and CRM than technology. Decisions about ERP and CRM systems include finance, operations, sales management, and C-suite. BDRs targeting IT alone miss out on business people.
  • Ignoring finance—The CFO or controller is frequently the most important voice in an ERP decision. If your outreach never touches the finance function, you are missing a critical part of the buying committee.
  • Generic cold emails — At the volume of outreach most BDRs send, personalization feels impossible. But the accounts flagged by your signal monitoring deserve genuine personalization. Save the templates for low-priority accounts.
  • Chasing every ERP user — Not every company using an ERP is about to replace it. Signal-based targeting filters out the noise and focuses your energy on accounts where something is actually moving.

• No buy-in from the decision-making committee – the decision on ERP and CRM software is seldom made by one individual. Identify the committee right at the start: the CIO, the CFO, department heads, and IT people. Try to establish your relationship with more people than the initial one who answers.

Developing Repeatable Migration Prospecting Playbook

The BDRs who always identify an opportunity early are not doing anything supernatural. What they have done is develop a process that works behind the scenes of their regular work process.

A basic migration prospecting playbook has five components:

  • Monitoring intent—Create Google Alerts for target account names, as well as ‘digital transformation’, ‘ERP migration’, ‘cloud migration’. Also look at LinkedIn postings for your target accounts once a week.
  • Scoring—Keep a spreadsheet or CRM field tracking sales scores for your top 100 accounts. Update this weekly.

 Escalate anything that crosses your threshold score.

  • Technology tracking — Run target accounts through BuiltWith or HG Insights quarterly to check for technology stack changes. Flag any accounts that have added cloud infrastructure tools or changed CRM platforms.
  • Hiring alerts — Set LinkedIn job alerts for each of your top accounts. Focus on ERP, CRM, enterprise architecture, and digital transformation titles. A new posting often precedes a buying signal by 30 to 90 days.
  • Quarterly account reviews — Once a quarter, review your entire target account list for signal accumulation. Some accounts build slowly. A signal received from Q1 along with signals received from Q2 and Q3 can be considered an important pattern, even if the individual signals were not individually urgent.

The idea is not to track everything but to track the right things all the time so that when something really good comes up, you are the first to notice and capitalize on it.

Conclusion

It is not a secret for companies to share their plans regarding migrations. They reveal their plans through their earnings call statements, annual reports, hiring of executives, recruitment of new employees, hiring of consulting firms, and adoption of new technologies. The signals are public. Most BDRs just are not looking for them.

The transition from reactive prospecting to proactive opportunity identification is straightforward but requires a change of thinking. Rather than questioning ‘who needs my product immediately,’ the focus is ‘who is going to need the product in the next six months, and how can I be a part of that conversation today?’

Those BDRs who make a habit of following the signals, scoring the accounts, and engaging proactively through intelligent and informative outreach ahead of an RFP generate more business than their counterparts, not because they are good sellers but because they arrive before everyone else does. It is an available advantage for every BDR willing to master the process.

Take your best 20 accounts and identify three signals. Configure the alerts this week. Opportunities exist; you have to know how to recognize them before your competitors do.

How Revenue Operations Teams Are Using Customer Intelligence Data to Increase Pipeline Efficiency

How Revenue Operations Teams Are Using Customer Intelligence Data to Increase Pipeline Efficiency

by Technology

Sales teams have never had more data at their disposal. Yet when you ask the majority of revenue executives how confident they are in their sales funnel, chances are that their answer won’t be very positive. Conversion rates are declining. The length of the sales cycle is increasing. Forecasts don’t come true too often. The reps are working hard but not effectively.

The issue here is not a lack of data. What companies have an abundance of is just the wrong kind of data. CRM entries with empty fields, contact databases that haven’t been updated for ages, lead scoring models using old criteria, and marketing qualified leads ignored by sales due to past experience.

Revenue Operations was designed to fix exactly this. And more and more, the teams that excel at RevOps do so through creating customer-intelligence-data-driven operations for their entire pipeline. Not as a reporting tool, but rather as the operational basis of everything they do from targeting, forecasting, and scaling.

Here, we take an in-depth look into how that’s done, what customer intelligence means, and how RevOps teams use it to create pipelines that aren’t just large but fast and efficient.

What Is Revenue Operations?

Revenue operations is a business process that links sales, marketing, customer success, and finance departments together. The objective of revenue operations is to resolve the issues arising from the separate processes of each department and their different toolset and key performance indicators.

In a properly organized RevOps function, the marketing-sales transition is smooth. The CRM is accurate.

Forecasts are built on consistent data rather than rep intuition. Customer success has visibility into what was promised during the sale. Finance can model revenue scenarios without waiting for a quarterly spreadsheet from sales leadership.

The objectives are regular income, accurate forecasts, process coordination between the go-to-market teams, and sustainable growth without having to hire additional staff each time you want to beat a certain number. None of those is possible without good data. And that is why the quality of customer insights is not just some sideline topic in RevOps; it is the key one.

What Is Customer Intelligence Data?

What is Customer Intelligence Data?

Customer intelligence does not represent one specific data type. Rather, it involves a layered view of your prospects’ identities, actions, and likelihood to purchase. One of the best ways to conceptualize customer intelligence is by dividing it into five different categories.

Firmographic Data

This is the foundation. Size of the company, annual turnover, number of employees, industry, headquarter location, and organizational structure. That is how you identify if a company is your ideal customer before making an investment in the company. Firmographics make the basis of any lead scoring and territory planning exercise.

Technographic Data

The technology that the business currently uses. The CRM software, ERP suite, cloud technology, marketing automation system, cybersecurity systems, and analytical tools used by the firm. The technographics data will give you an insight into the technology environment under which your product should perform and, importantly, whether your prospect uses your competitor’s technology or out-of-date technology.

Intent Data

The behavioral cues that would suggest a business is engaged in researching the subject relevant to your product or category. Content consumption, searching for keywords, visiting review websites, and downloading white papers. Intent data will not help you know when a company is ready to buy. Rather, intent data would tell you that the company is considering something a perfect time to reach out before others do.

Buying Signals

Observable signals within a company before making a purchase decision. Hiring of new executives, raising rounds of money, technology upgrades, geographical expansion, mergers, and headcount expansion. These are the operational events that generate a sense of urgency to buy. A company that recently completed a Series B and hired a new CRO is going to have a very different mentality around sales tools than one that has not grown in two years.

Contact Intelligence

E-mail verifications, direct dialing numbers, LinkedIn profiles, reporting structure, and decision-maker discovery. The best possible targeting capability in the world will not do you any good if you can’t connect with the right person. Contact intelligence is the layer that makes everything else actionable.

These five categories work together. Firmographic information will show you which companies should be included in your sales funnel. Technographic and intent data will help you understand which among those companies actually require your offerings at present. Buying signals tell you which are most likely to act soon. Contact intelligence tells you who to call.

Why Pipeline Efficiency Has Become a Top RevOps Priority

In the last ten years, the solution to slow pipelines has been more volume, more leads, more touches, and more SDRs. But that approach is not going to work anymore because buyers are increasingly difficult to reach, are much better educated and informed, and are much less responsive to generic messaging.

And the effect of that has been that revenue teams are having to work harder just to maintain their current status.

Conversion rates from lead to opportunity have declined across most B2B categories. Average sales cycles have lengthened. Customer acquisition costs have increased. And pipelines that look impressive in a CRM dashboard are increasingly filled with opportunities that have very little chance of closing on any reasonable timeline.

The issue is not pipeline quantity. It is pipeline quality. And pipeline quality is a direct function of data quality. When reps are working accounts that do not fit the ICP, chasing contacts who left the company six months ago, and trying to close deals where the buying committee has never been properly mapped, the pipeline number is a fiction. 

RevOps teams that have figured this out are investing in customer intelligence as the primary lever for efficiency improvement, not as a nice-to-have reporting enhancement.

How Customer Intelligence Improves Pipeline Efficiency

How Customer Intelligence Data Improve Pipeline Efficiency

Prioritizing High-Value Accounts

It’s not true that all accounts in the CRM should get the same level of consideration. Customer intelligence can help you score and prioritize accounts by matching your ideal customer, understanding the technological capabilities of the client, looking at their intent indicators and evaluating organizational changes that indicate a buying opportunity. Sales reps that have a prioritized list of accounts will close more deals not because they’re putting in more effort, but because they’re closing accounts that are worthy of closing.

Reducing Time Spent on Unqualified Leads

Data enrichment is the most immediate way through which customer intelligence enhances the efficiency of the pipeline process. Once a new lead is added to the CRM and automatically enriched with data, it becomes easy for the sales rep to ask the right questions of the prospect rather than basic ones. The marketing team will no longer send nurture campaigns to each and every contact based on fit.

Identifying Buying Intent Earlier

Those companies that will most likely convert aren’t necessarily the ones who fill out the form first. Intent data identifies accounts who are actively investigating a topic before they even reach out to you. A company that is reading three articles related to ERP migration, comparing vendors on G2, and using a total cost of ownership calculator is telling you something very important. 

RevOps teams, which inject the intent data into the scoring process and alert the reps when the target account crosses a threshold, engage with the customer earlier than the competition, which is waiting for the inbound activity.

Helping Sales Engage Decision Makers Earlier

Enterprise sales don’t normally rely on one decision maker. Usually, there’s a buying committee, an economic buyer, technical evaluators, end-users, and a procurement team. Customer intelligence data that shows the organizational hierarchy and the roles-based contact information allows the reps to map this committee early on in the cycle and not mid-cycle. Discovering that there are three weeks left till the close and that you haven’t met with the CFO is a problem that could be avoided.

Supporting Better Territory Planning

Customer intelligence-driven territory design yields more equitable and productive territories. By being able to bucket your accounts in terms of industries, company size, technology stack, and geographic clustering, your territories accurately represent the density of opportunities instead of just being random geographic divisions. 

High-density territories will yield better closed deals. Low-density territories aren’t destined for failure either. RevOps teams who revisit their territory design from time to time with the help of new customer data usually enjoy sustainable increases in productivity beyond Q1.

Improving Forecast Accuracy

A forecast built off of reps’ self-reports and pipeline stages is a forecast built on hopefulness. With customer intelligence, one can align the state of the pipeline to concrete indicators like account engagement scores, intent trends, buying committee reach, and ICP match strength. Once the above is taken into consideration when building forecast models, the forecasts become much more accurate. Now the revenue leaders are making data-driven decisions and no longer relying on gut feelings.

How RevOps Teams Use Customer Intelligence Across the Revenue Funnel

The benefits of customer intelligence aren’t just limited to one aspect of the revenue cycle. Rather, they transform the way each step of the funnel runs.

Awareness: With improved targeting, paid media, content marketing, and outbound efforts go straight to those firms that align with your ICP rather than general audiences who cost you money and make your vanity metrics look inflated.

Lead Generation: With accurate data, the marketing campaigns are aimed at real people. There will be less bounce, more responses, and time not spent chasing phony leads.

Marketing Qualification: Intent scoring means that MQLs come equipped with context. Salespeople don’t receive just names and emails but information on why this particular account is qualified to talk now.

Sales Qualification: At the point of handoff, account enrichment allows reps to have knowledge about company size, technology stack, and any recent organizational changes upfront. This transforms the discovery process into a strategic one.

Opportunity Management: With visibility into the buying committee, there won’t be any surprises down the line. Reps will know what influence members exert and build relationships with them.

Customer Expansion: Customer intelligence isn’t just for closing deals. The same triggers are used by renewal and expansion teams to figure out which customers have moved onto other use cases, which need to be retained, and where there are opportunities for cross-sell/upsell conversations.

Key Metrics That Are Improved with Customer Intelligence

The gap between a pipeline based on good data versus one based on volume can be seen in the metrics. Here’s how certain RevOps metrics tend to change when customer intelligence is applied to the revenue process.

MetricWithout Customer IntelligenceWith Customer Intelligence
Lead QualityMixed: high volume, low relevanceFiltered by ICP match and intent signals
SQL Rate10 to 15% on average25 to 40% with enriched and scored leads
Pipeline VelocitySlow: long qualification cyclesFaster: reps engage already qualified accounts
Win RateInconsistent across segmentsHigher in well-defined ICP segments
Sales Cycle LengthExtended due to wrong contactsReduced when buying committee is mapped early
Forecast AccuracyUnreliable: gut feel drivenData backed with intent and engagement signals
Revenue per RepDiluted by unqualified activityConcentrated on highest probability accounts
Pipeline CoverageBloated but untrustworthyLeaner, more accurate, and actionable

Common Mistakes That Reduce Pipeline Efficiency

Common Mistakes That Reduce Pipeline Efficiency

Most pipeline efficiency problems trace back to a small number of avoidable mistakes.

Relying on outdated CRM records. Contact data quickly goes stale. People change employers; companies are restructured; and institutions go out of business. A CRM database not regularly enriched or audited sends out communications to contacts that no longer exist.

Ignoring intent signals. Many revenue teams still treat all accounts equally regardless of where those accounts are in a research or evaluation process. Intent data changes the prioritization entirely, and most teams are not using it.

Poor ICP definition. If the ideal customer profile is vague, every lead looks qualified and nothing filters out. A precisely defined ICP, built from analysis of your actual best customers, is the foundation that makes everything else work.

Measurement by volume rather than quality. Pipeline ratios and lead volume figures may look impressive on a dashboard, but they give you no indication of whether anything will actually close. Measurement by quality metrics such as intent-based pipeline or ICP-qualified opportunity value makes all the difference.

Sales and marketing misalignment. When marketing optimizes for MQL volume and sales evaluates leads on conversion potential, the definitions diverge and the handoff breaks down. Customer intelligence only works as an efficiency driver when both teams are using the same data and the same criteria.

The fix for most of these is not a new tool. It is a cleaner, more disciplined approach to the data you already have access to.

Best Practices for Building a Customer Intelligence Strategy

It is not done by chance. It demands an organized way to do this that most RevOps teams can accomplish gradually without doing everything all at once.

  1. Define your ideal customer profile precisely. Go beyond industry and company size. Include technographic criteria, revenue range, organizational maturity, and the specific business conditions that create urgency for your product. The more precise the ICP, the more useful your scoring becomes.
  2. Audit your CRM for data quality. Before adding new data, understand the state of what you already have. What percentage of records have complete firmographic fields? What is your email bounce rate? How many duplicate accounts exist? The audit tells you where enrichment effort is needed most.
  3. Systematically enrich your customer database. Use a trustworthy data provider that will help you fill your firmographic, technographic, and contact data fields. Look at enrichment as a process and not an event. Data depreciates continually.
  4. Build intent monitoring into your workflow. Identify which intent topics are most predictive of purchase for your product category. Set up alerts that surface accounts crossing an intent threshold and route those alerts to the appropriate rep or sequence automatically.
  5. Design RevOps dashboards for quality and not just quantity. Instead of pipeline coverage dashboards, create dashboards that capture ICP match rate, distribution of intent signals, buying committee coverage, and forecast confidence scores.
  6. Align sales and marketing on shared definitions. An MQL means something specific. An ICP-matched account means something specific. Document those definitions, build them ICP-matched scoring models, and review them quarterly as your market evolves.
  7. Measure continuously and adjust. Customer intelligence strategy is not a set-and-forget exercise. The market set-and-forget product changes, as well as your ICP. Plan for regular reviews and be prepared to change your criteria if the data indicates that something has changed.

The Future of Revenue Operations Is Intelligence-Driven

The next wave of RevOps capability is already taking shape. AI is moving from a reporting layer to an operational one, with models that predict which accounts are most likely to convert, recommend the next best action for each rep, and flag at risk opportunities before they fall out of the pipeline.

Predictive analytics is making forecast models significantly more reliable, particularly when those models are trained on customer intelligence signals rather than just historical pipeline data. Real-time enrichment means the CRM stays current automatically rather than requiring quarterly data cleaning exercises. Intent data is also growing more advanced by collecting signals from an increasing number of touchpoints and connecting them with purchases made.

The privacy-friendly approach to data collection is also gaining importance as new regulations come into effect in various countries. Teams that rely on intelligence strategies based on consent-based and updated data will have an advantage when it comes to meeting future compliance demands.

The organizations that invest in intelligence infrastructure now are building a durable competitive advantage that compounds over time.

Conclusion

Revenue Operations has matured well past its origins as a systems management function. At its best, it is now the organizational capability that enables smarter decisions at every stage of the revenue process, from which accounts to target to which opportunities to prioritize to which customers to invest in for expansion.

Customer intelligence is what makes that possible. Not because data is magic, but because the decisions revenue teams make are only as good as the information behind them. Poor data produces poor decisions at scale. Good data produces good ones.

The teams consistently hitting their numbers are not doing something categorically different from everyone else. What they have done is develop discipline in how they relate to their data. They know their ideal customers, know how to recognize when prospects fit that profile, and know when and how to approach them with the proper message. That is not a technology problem. It is a data quality problem with a very solvable answer.

Frequently Asked Questions

Revenue intelligence information can be defined as the kind of information that is used by revenue teams to get an understanding of the target audience, what they are doing, and at what point in time will they be ready to purchase. This does not only include basic contact information but also firmographics, technographics, buying intent, and real-time behavior of the target audience. In RevOps, it is used for alignment of sales, marketing, and customer success teams.

This helps cut down the waste of time and effort that goes into qualifying the prospects that never had any potential from the very beginning. When the sales reps are able to identify the customers that fit the perfect mold, those who are showing buyer’s intent, and those who hold the power to make the purchase, they save much time qualifying and invest all their time in closing deals.

The most useful combination will be firmographic data for identifying fit with the account, technographic data to know the technology landscape, intent data for recognizing activity in research mode, and verified contact intelligence for reaching the appropriate people fast. None of these by itself gives the complete picture; it is when combined that they become valuable.

CRM data is what your team has recorded about past interactions. While customer relationship management provides a narrow view of the market, customer intelligence encompasses a wider range of market intelligence that CRM wasn’t originally designed to obtain, for instance, the technologies used by the prospect or if they’re currently looking for solutions in your domain or have a new executive who has just joined their management team. They complement each other, although they’re different concepts.

Significantly. Forecasts built on pipeline quantity alone are notoriously unreliable. When forecast models incorporate intent signals, account engagement scores, buying committee coverage, and ICP match strength, they become considerably more accurate. Revenue leaders stop asking how much is in the pipeline and start asking which of it is actually likely to close.

Intent data tells you which companies are conducting research into subjects related to your product before they ever contact you. The company engaging in content on the topic of ERP migration, cloud security, or revenue operations software is giving you a message about their buyer journey. When you combine intent data with fit in the context of firmographics, it provides you with motivation to contact them in ways that far exceed cold calling.

Some of the important metrics that should be considered include SQL rate, pipeline velocity, average sales cycle time, win rates by segment, forecasting accuracy, and revenues per rep. All these help you to know whether your pipeline is generating good opportunities or just building on volume that never translates to sales.

Contact-level data must be validated at least every 45 to 90 days because of how often people move around in organizations. For technographic and intent data, more regular refreshes are helpful; ideally, they should happen monthly since adoption and research behavior can quickly change. Most firmographic information, such as revenue tiers and number of employees, can be evaluated quarterly.

Oracle vs SAP Which ERP Better Supports FinTech Operations and Risk Management (1)

Oracle vs SAP: Which ERP Better Supports FinTech Operations and Risk Management?

by Technology

The FinTech industry no longer resembles the back-office financial department from which it has evolved. For example, by lunchtime, a medium-sized digital lender may already have conducted real-time payments in half a dozen jurisdictions, screened all transactions for fraud, and prepared for an audit.

Requirements for compliance become more complex every day, payment ecosystems become more complicated in their integrations, and boards require up-to-date reporting instead of last quarter’s.

Throwing fraud prevention and operational risks into the mix, one can understand why FinTech leaders are rethinking the underlying platform. The ERP system a company selects is not just an accounting application anymore, but also something that makes sure that risks are detected early rather than too late.

That leads to the main question of this article: when compliance, scalability, and risk management are imperative conditions, should a FinTech company use Oracle or SAP?

What Modern FinTech Firms Need From an ERP System

FinTechs require more from their ERP system compared to other companies, and the primary reason why is the extremely high price of failing when it comes to managing risk. An ERP system designed for FinTech needs to be able to provide:

 

  • Visibility in real time regarding finances in all entities and products
  • Compliance processes automated in such a way that no one needs to remember to manually check anything
  • Risk management that identifies risks in real time rather than quarterly
  • Accounting for multi-entities in case of operations in multiple locations or licensing structure
  • Cloud scalability that can withstand sudden spikes in transactions without requiring any restructuring
  • Analytics powered by AI to uncover things that might go unnoticed by human reviewers

 

  • Strong security and governance controls in order to satisfy both internal auditors and regulations
  • Integration with the payment ecosystem, as all FinTechs are dependent on it.

 

This change in perspective is significant. As soon as the ERP is required to be proactive about risk instead of passive about recording the transaction, the comparison between Oracle and SAP will not be about functionality but about their behavior in a regulatory environment.

Oracle ERP Overview

What Is Oracle ERP?

Oracle Cloud ERP, otherwise known as Oracle Fusion Cloud ERP, comprises Financial Management, Risk Management Cloud, and Enterprise Performance Management under one roof. According to Oracle, more than 11,000 companies in virtually all industries have already adopted Oracle Fusion Cloud ERP, with a suite of embedded AI capabilities covering finance, procurement, and operations.

Oracle strengths for FinTech

  • Oracle Cloud ERP architecture is heavily skewed toward automation and real-time processing:
  • Real-time analytics powered by Oracle in-memory database technology
  • Automation via AI, featuring automated creation of narrative reports and cash forecasts
  • Risk management features integrated with Oracle Risk Management Cloud, like segregation-of-duty analysis identifying conflicting roles, for example, when one person has the ability to set up vendors and pay out to them
  • Continuous compliance monitoring rather than periodic, manual control testing
  • Cutting-edge cloud computing tailored for maximum performance and security

For a digital payments platform handling thousands of transactions per minute, this kind of architecture becomes an essential requirement.

If you are providing products or services related to cloud migration, cybersecurity, or ERP consulting services, companies using oracle are the prime prospects for you to target. identify companies using Oracle according to your ICP with the help of a well-segmented Oracle customers list. 

SAP Overview

What Is SAP?

The core offering from SAP includes the SAP S/4HANA Cloud product along with SAP Financial Management and SAP GRC Suite.

Strengths of SAP for FinTech

This is typically where SAP shines, especially in more complex and multientity governed organizations:

  • High transaction processing performance thanks to the in-memory database of HANA – an area of strength for SAP historically
  • Enterprise-level integration via SAP Business Technology Platform and huge partner network
  • Compliance tools with GRC modules focusing on segregation of duties enforcement and continuous control management
  • Analytics capabilities via SAP Analytics Cloud and integrated Fiori dashboards
  • Large implementation partner ecosystem and industry-specific content available

If there is a need to comply with different regulation frameworks at the same time, for example, for lending platforms or larger banks, then this governance capability may be just right.

Companies already using SAP looking for ERP consultation, cloud migration, integration, and others can also be the customers for businesses providing these services. Discover those companies based on industry, location, and other attributes using a SAP customers list.  

Risk Management Comparison: Oracle vs SAP

In view of the centrality of risk management within the requirements of FinTech firms, an in-depth look into both platforms is in order.

Oracle Risk Management Capabilities

Robust Access Controls:  Oracle Risk Management Cloud constantly compares roles assigned to users against configurable rules to detect segregation of duties problems immediately as opposed to waiting for the next auditing cycle.

Risk Monitoring and Continuous Auditing: Transactions in the platform are monitored for suspicious activity, and continuous auditing is conducted in place of the sampling done by traditional systems.

Control Embedding: Transactions have workflow and policy monitoring integrated within them so that any breach is detected immediately.

Artificial Intelligence Enabled: Predictive risk analysis and anomaly detection have been increasingly enabled by the use of artificial intelligence conversational assistants which help to query the embedded AI capabilities of Oracle.

SAP Risk Management Capabilities

GRC Suite: The SAP GRC solution integrates Access Control, Process Control, and Risk Management components within the same environment for end-to-end visibility on risks across the entire company through one pane of glass.

Compliance Management: The SAP compliance solution is designed based on named regulations, where automated processes are set up and scheduled to execute periodically, while detected irregularities are sent straight into remediation workflows.

Fraud Detection: Leveraging the in-memory processing of HANA database, SAP can perform real-time monitoring of high-throughput transactions, thus transforming static batch processing checks into risk indicators.

Risk Analytics:  Risk scoring and scenario planning can be enhanced due to the capability of the HANA database to perform large volumes without the need for lengthy batch processing required by the previous generation of GRC solutions.

The bottom line is that the difference might come down to the degree of automation: while SAP GRC solution is more comprehensive for formal governance structures, Oracle takes the lead when it comes to AI-powered conversation risk analysis within the finance workflows.

Compliance and Regulatory Readiness

The regulations faced by FinTech enterprises are more numerous than those of practically any other industry, making this part of the paper quite significant.

Examples of regulations applicable to FinTech firms: SOX, GDPR, PCI DSS, AML, KYC, and IFRS.

How Oracle Supports Compliance

Oracle’s compliance process is based on constant monitoring as opposed to periodic review, along with automation of controls which self-document and validate themselves. Dashboard for compliance integrates all such activities into one, providing visibility of controls’ health status in real time as opposed to quarterly reporting.

How SAP Supports Compliance

SAP relies upon governance procedures based on formal processes embedded within S/4HANA. The governance procedures have well-established audit trails which follow back decisions made in the context of compliance back to the originating transaction. Regulated reports are generated directly from the transaction without manual reconciliation of compliance.

AI, Automation, and Predictive Intelligence

Oracle

The company’s AI investments are particularly apparent through workflows that apply specifically to finance: close processes that use AI to speed up the process of closing the books, automated reconciliation that decreases the need for manual matching, and smart forecasting that uses both past and present data.

SAP

The methodology of SAP uses intelligent process automation which involves machine learning across all S/4HANA and allows identifying any strange behavior regarding payments or spotting any fraud cases. This approach is complemented by predictive financial planning that utilizes Fiori dashboards to help with understanding risks.

Cloud Infrastructure and Scalability

Oracle Advantage

The Oracle cloud story is all about Oracle Cloud Infrastructure, which is built on the foundation of high performance in-memory databases and a security-first platform. This approach usually appeals to businesses that prefer their infrastructure to be developed for speed and artificial intelligence processing.

SAP Advantage

The competitive strength of SAP is due to its Business Technology Platform and the extent of its deployment footprint worldwide. For businesses which are working across multiple countries and have strong local compliance regulations, the certified partner ecosystem and compliance content already available at SAP will be an added advantage.

Oracle vs SAP for Different FinTech Segments

Various segments of the FinTech industry are more inclined towards different platforms, primarily depending on the type of risks that dominate their respective businesses.

  • Digital Payment Companies – Oracle is recommended for them as real-time transaction visibility and automation are key for this segment.
  • Lending Platforms – SAP is recommended for these lending businesses due to their complex risk governance, which is where SAP has experience with its GRC solution.
  • InsurTech companies – Oracle/SAP, depending on the existing technology ecosystem and compliance needs of various insurance lines of coverage.
  • Neobanks & Digital Banks – Oracle is recommended as cloud-native capabilities and automation suit them best due to their digitally-led operating model.

Total Cost of Ownership (TCO)

Cost is one of the most frequently searched for issues related to both platforms. Several key determinants make up the total cost of ownership of the platform: licensing costs, service integration, customizations, maintenance, training, and ROI calculated based on closed cycle improvements and decreased manual effort.

 

Note: TCO greatly differs from one company to another depending on the company size, number of integration points needed, and complexity of compliance rules in the organization. Both platforms do not have a set price that would apply to all FinTech companies.

Migration Considerations

When Oracle May Be the Better Choice

  • Organizations with cloud first and little legacy infrastructure to move
  • FinTech startups growing at an accelerated pace
  • Finance departments using AI and wanting predictive capabilities built-in
  • Firms that have ongoing projects for modern infrastructure

When SAP May Be the Better Choice

  • Firms with complicated organizational structure and systems already in place
  • Organizations dealing with complex governance in several regulatory frameworks
  • Firms with investment in the SAP eco-system
  • Firms operating global compliance operations across many nations

Real-World Evaluation Checklist

  1. What are the regulatory requirements that need to be met, and where?
  2. What level of complexity exists in your current risk management processes?
  3. Do you require real-time analysis, or is periodic reporting adequate?
  4. How many entities/ subsidiaries do you have that need to be managed by the same system?
  5.  What integrations do you require, especially in relation to existing payment rails?
  6. At what speed does the ERP need to grow as the volume of transactions increases?

Final Verdict: Oracle vs SAP for FinTech Risk Management

Choose Oracle If

  • Cloud innovation is favored over proven enterprise practice
  • Automation driven by artificial intelligence is required within finance processes
  • Financial transparency in real time is key to running your business
  • Scalability is a requirement going forward

Choose SAP If

  • The need for mature and comprehensive enterprise governance is essential.
  • Managing complexity in compliance management is key to your operations.
  • Your organization is already working within the SAP landscape.
  • Risk and Audit are more important than iteration.

Conclusion

Indeed, both Oracle and SAP boast some truly impressive ERP functionality for FinTech businesses, with no bad choice of the two as such. Oracle tends to be particularly strong at cloud-based finance automation and AI-enabled insight, while SAP usually wins with its enterprise-grade governance and comprehensive risk and compliance tools. The deciding factor here is going to be your specific regulatory landscape and where your business is headed.

For those still trying to decide which platform is best suited for their FinTech operations, LogiChannel’s technographic data may help you see which ERP solutions are in use by similar financial services firms.

Top Industries Driving ERP Modernization in 2026

10 Industries Leading ERP Modernization in 2026

by Technology

ERP software has become, perhaps without its users even realizing, one of the most important choices they will make regarding technology. This software that used to be a simple inventory and payroll management tool for businesses has morphed into a backbone of the organization that makes the difference between the speed with which the business will be able to react to disruptions, changes in demand, and regulation.

The legacy ERPs, developed over fifteen or even twenty years ago, cannot be blamed for not being prepared for the challenge. These systems were created for a predictable supply chain, batch processing, and quarterly reports—all those features of business life have long since been replaced by the reality of our time.

This is why we are witnessing a revolution in ERP software at the moment, with more and more companies retiring legacy ERPs for cloud-based systems with integrated AI, automation, and advanced analytics features. The trend is not confined to any specific industry but spreads far and wide.

And which industries are driving the charge in 2026? This guide tries to provide the answers to that question.

What Is ERP Transformation?

ERP transformation is the migration of an enterprise from its old, generally on-premises ERP system to new, cloud-based platforms optimized for agility, scalability, and intelligence. It is more than an upgrade. The process usually includes standardization of processes across the organization, automation of previously manual processes, and integration of the ERP core with AI and analytics.

There are several reasons why businesses move towards such a transformation. The first one is increased operational complexity as organizations enter new markets, sales channels, and product offerings, which legacy ERPs have trouble coping with. Secondly, there is the need to implement digital transformation within an organization, which requires reconsideration of its technological infrastructure. 

The third one is the compliance needs, which become stricter in the finance and healthcare sectors as the number of regulations increases. The fourth reason is that leaders need insights about the operation of the company in real time rather than the monthly lagging reports generated by the old systems.

It doesn’t end here. There’s another trend emerging beneath everything else. Older legacy ERP systems have been tailored and built out over the past fifteen or even twenty years by different IT professionals who have left the organization already, resulting in systems which are highly customized, difficult to document, and expensive to maintain over time. 

The vendors are making it easier for enterprises to move by discontinuing support for their older on-premise ERP versions, thus creating an impetus to upgrade, which enterprises can’t really put off forever. Not only that, but there’s pressure to do so from new-age employees, as they are used to cloud-based software in other applications.

Thus, what you’re seeing is a market on the move. Approximately half of all organizations worldwide are actively investing in, upgrading, or planning to upgrade their existing ERP solutions right now, signaling the fact that this isn’t an IT-level initiative any more. This is a board-level one.

Industries Leading ERP Transformation Investments

There is variation in pace among different industries, but not for random reasons. The pressure on the following industries is unique and necessitates an ERP upgrade as opposed to leaving things as they are.

1. Manufacturing Industry

The manufacturing industry still stands out as the one responsible for most of the ERP spending. Manufacturing accounts for 47% of ERP buyers and 32% of the total market share of ERP users, positioning itself as the key industry for cloud ERP usage. It is not difficult to see why when considering the challenges faced by manufacturers, including their multilayered supply chains, complicated production planning, and inventories that need to be managed throughout all stages.

Smart factories have increased the demands on the manufacturing industry. Manufacturers are not only going digital but also integrating shop floor data, production machinery, and quality management systems with ERP systems.

Key ERP use cases in manufacturing include:

  • Production scheduling based on demand forecasting
  • Automation of procurement process by eliminating manual purchase order cycle
  • Quality management systems identifying defects before they become major

What becomes apparent is the combination of cloud-based ERP and AI-powered production planning in which ML algorithms are used to predict shortages of materials and optimal scheduling of lines.

2. Retail and E-Commerce

There are some challenges unique to retail. Omnichannel selling means that one SKU will be available in the physical store, on the company’s website, and also via the third-party platform at the same time. Maintaining seamless synchronization between inventory on all three channels and avoiding overselling or stockout at the same time is a challenging task that was simply not conceived in traditional systems designed for single-channel retailing.

What are the driving factors for retailers to adopt modern systems? There are three of them: real-time inventory management to avoid the infamous situation of “out of stock, but available online,” rapid order processing due to ERP and warehouse integration, and improving the customer experience through reliable delivery estimates.

The next trend is unified commerce, when the ERP, POS, and eCommerce solutions are based on the same data layer. Also, AI-driven demand forecasting is rapidly gaining ground, which allows retailers to predict the peak season much more accurately than through traditional spreadsheet calculations.

3. Financial Services and Banking

Reasons behind modernizing ERP systems for financial services firms differ from those of other industries, such as manufacturing and retail. First and foremost, it is compliance. Regulators demand detailed, auditable reports that cannot be provided by legacy ERP systems with manually adjusted data. Another major motive is risk management because financial firms require comprehensive exposure visibility at the corporate level in nearly real time.

Modernization aims at enhanced governance and financial visibility, as well as automating processes that help minimize the burden for finance department employees. In the future, artificial intelligence will be integrated into financial planning and reporting systems, making them an everyday tool, especially since finance professionals face increased pressure to provide forecasts before the monthly closing period.

4. Healthcare Industry

Perhaps no area will illustrate growth better than the healthcare industry. The healthcare industry has the greatest potential for growth compared to other sectors, with a predicted CAGR of 22.37% up to 2030 thanks to factors such as rising regulatory requirements, patient data management challenges, and efficiency needs.

This rate of growth is higher compared to almost all other industries and is fueled by the need for greater efficiency. Management of patient data has become increasingly complex due to consolidation of health systems and adoption of the EHR system. The already heavy burden of regulatory compliance in the industry continues to get worse. And efficiency in terms of staff and equipment allocation has become necessary due to tight margins.

Some of the benefits of ERP in the hospitals and health networks will include better workforce management, financial management in multi-facility networks, and supply chain visibility.

5. Logistics and Transportation

No other industries seem to be impacted by disruptions in their supply chains as much as logistics and transportation do. The need for fleet management, routing, and scheduling optimization, along with the consequences of global supply chain unpredictability, made logistics companies opt for ERP systems that could react immediately to situations rather than analyze them afterwards.

The results achieved through modernization of logistics companies may be boiled down to three points: real-time insight into shipments and the state of fleets; improved ability to manage expenses related to fuel, labor, and maintenance; and increased operational efficiency due to algorithmic routing and load optimization.

Technologies Accelerating ERP Transformation

However, these industries aren’t modernizing without any technological background at all—there are several basic technologies that make the entire process possible, and they deserve to be mentioned individually.

First and foremost, cloud ERP is what makes everything possible. It provides scalability that is impossible for on-premises systems, reduced cost of infrastructure due to the lack of need to have a server farm of your own, and faster implementation processes. The number of companies that use cloud ERP increased to 64% in 2024 from 44% in 2020 and does not look like it will stop growing.

Next, artificial intelligence technology changes not only where an ERP system operates but also what it can actually do. Predictive analytics, demand forecasting, and intelligent automation are now an integral part of ERP systems and are not added separately anymore. The companies that use AI-powered ERP solutions noted a 20% increase in forecast accuracy and 15% reduction in operational costs.

Data analytics provided by the ERP system allows for real-time decision-making, and business intelligence integration allows asking questions about the current state of things without waiting for reports from the finance department.

The use of automation technology, especially that of robotic process automation overlayed over ERP processes, is helping to ease the workload of personnel. The use of robotic process automation within ERP has made the process 30% more efficient and cut down the number of errors by 25%.

All of these four technological developments together have made ERP shift from being a system of record to a system of intelligence.

Common ERP Transformation Challenges

None of this would be possible without friction. The successful execution of ERP transformation initiatives can be incredibly challenging, and one should be upfront about where problems arise. Academic research suggests that ERP projects tend to overrun their budgets far too often, and the median period necessary to earn back the investment is approximately two and a half years.

Budget issues are one of the first things to be considered when implementing ERP. This software is costly, and there is also a known issue that its price may often exceed the initially stated number due to various unforeseen requirements that emerge throughout the implementation process. 

Another problem may lie in data migration, which may prove to be more complicated than initially thought, as transferring large amounts of historical data from an old system without data corruption or losses can prove to be a challenge.

Even though a system is implemented technically successfully, it may still fail in practice due to lack of employees’ interest in using the tool. In other words, staff may continue using their old ways and workarounds rather than adopting the system. 

Lastly, the integration with legacy systems might be the last straw breaking the camel’s back, especially if the tool does not feature an open API.

There are several common practices for overcoming all these obstacles.

In fact, phased implementation has emerged as the norm, since it enables the team to check each module before proceeding to the next one, thus avoiding any kind of total failure in the organization as a whole.

Future of ERP Transformation Across Industries

ChallengeCommon Mitigation
Budget overrunsPhased implementation rather than a single "big bang" rollout
Data migration riskStructured change management and early stakeholder involvemen
Employee resistance/td>Structured change management and early stakeholder involvement
System integration gapsMiddleware or API-first platforms chosen specifically for compatibility

In the coming period, there are going to be certain trends that will help define the next step towards the ERP modernization process. This includes the use of AI-native ERP platforms, meaning software built with AI at its core rather than being augmented with additional capabilities, and the development of industry-specific ERP platforms. The latter has become popular due to the fact that general-purpose platforms tend to lack the particularities of the workflow of the company working in distribution, health care, or manufacturing.

Hyperautomation, or the automation of not just single processes but whole end-to-end procedures, is becoming a more common thing every year. Moreover, the prediction of the future state rather than simple reporting on the past achievements becomes an increasingly valuable capability for modern ERPs. In the case of investments, manufacturing, retail, health care, and financial services are expected to be the top industries investing in the modernization of ERPs until the end of the decade.

The forecast predicts the market size of cloud ERP to increase from about $113.94 billion in 2026 to $202.26 billion by 2030, which provides an indication of the amount of capital that is being invested into this field.

In terms of gauging which technologies are currently used by competing firms and potential clients, the technographic information provided by LogiChannel provides an empirical means of measuring ERP technology adoption versus simply survey estimates. This is quite helpful in addition to the general market information provided.

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Conclusion

However, despite manufacturing, retail, finance, healthcare, and logistics dominating the ERP modernization agenda in 2026, each of these industries is pursuing it because of its own unique reasons. In manufacturing, it is to manage the increased complexities of the supply chain; in retail, to maintain the synchronization of inventory across various channels of sales; in financial services, to meet regulatory requirements; in healthcare, to meet regulatory requirements and to cope with huge amounts of data. Logistics, meanwhile, seeks real-time insights where before there were none.

It seems that what unites all of these industries is the view that cloud computing architecture, AI, and real-time analytics are not nice-to-have features any longer but a standard requirement for any enterprise-level software solution. As the migration is completed in the coming years, ERP modernization will likely become not a competitive edge but a necessary step to survive on the market. Those who will undertake the process earlier will get an opportunity to compete in terms of speed of operation rather than having to make adjustments later.

Companies Using Oracle ERP

Companies Using Oracle ERP: Top Enterprises, Industries, and Adoption Trends in 2026

by Technology

Organizations throughout the world are increasing their investment in ERP systems so that they can optimize their operations, achieve real-time visibility of their finances, and have an infrastructure that is well-positioned for the future. Among many platforms that are facilitating this shift in current technology, perhaps the one that is most widely adopted by both large and multinational businesses is Oracle ERP Solutions.

From manufacturers in the Fortune 500 to global healthcare systems to rapidly expanding retail businesses, Oracle ERP is used by thousands of companies to execute some of their most important business functions. Companies rely on Oracle ERP for everything from financial consolidation across many subsidiaries to automating procurement processes and orchestrating their supply chain functions; thus, the Oracle ERP platform is the backbone of how enterprises conduct their businesses regardless of location or industry.

In this article, we will examine various large companies that use Oracle ERP, the industries that have the highest adoption rates; and trends relative to Oracle ERP that will start to take shape by 2026; plus we will analyze what this landscape of adoption implies for B2B marketers and technology providers selling to enterprise buyers.

What Is Oracle ERP?

The suite of applications that make up Oracle ERP was designed to be an integrated enterprise application solution to assist businesses in managing their core business processes under one single business platform. The entire business life cycle is represented with modules for financials, procurement, supply chain, project management, and the monitoring of risk and compliance. 

There are two ways Oracle provides ERP solutions to customers:

(1) the long-reigning classic on-premises Oracle ERP software that has served large companies for many years, and

(2) the new-generation Oracle Fusion Cloud ERP, which is the evolution of an organization’s technology infrastructure by providing a modern cloud-based ERP solution. Cloud-based Oracle Fusion provides real-time streaming updates, machine-based automation, and the seamless integration necessary with other systems while eliminating the high cost of supporting the on-premise system.

Core Oracle ERP Modules:

  • Financial Management: Includes areas such as general ledgers, accounts payable, accounts receivable, fixed assets, and closing finances.
  • Procurement: Encompasses supplier relationship management, sourcing, purchasing, and spend analysis. 
  • Supply Chain Management: Involves managing inventory, order management, manufacturing, and logistics. 
  • Project Management: Includes project planning, resource management, billing, and costly processes.
  • Risk Management and Compliance: Includes the use and documentation of internal controls, audits, and regulatory reporting.

Key Benefits:

Business operations that are centralized across all areas and legal entities Financial accountability and visibility in real-time Compliance with regulations and ready for audits Expandable to support growth as a global company Innovation using the Cloud through AI Machine Learning and Automation.

Oracle ERP at a Glance: Key Statistics for 2026

Oracle has a tremendous global reach with its ERP platform, and it is consistently growing because more and more companies are migrating away from older systems to new, state-of-the-art, scalable enterprise cloud applications.

MetricValue
Estimated Global Oracle ERP Customers30,000+
Countries with Oracle ERP Deployments175+
Enterprise Market Penetration25% of Fortune 500 companies
Industries Served20+
Oracle Cloud ERP Revenue Growth15-18%

Top Companies Using Oracle ERP in 2026

Oracle has a tremendous global reach with its ERP platform, and it is consistently growing because more and more companies are migrating away from older systems to new, state-of-the-art, scalable enterprise cloud applications.

Company NameIndustryHeadquarters
AT&TTelecommunicationsUSA
DeloitteProfessional ServicesUSA
FedExLogistics & Supply ChainUSA
Marriott InternationalHospitalityUSA
SiemensIndustrial ManufacturingGermany
VodafoneTelecommunicationsUK
Tata Consultancy ServicesIT ServicesIndia
Toyota Motor CorporationAutomotiveJapan
Johnson & JohnsonHealthcare & PharmaUSA
ChevronEnergyUSA

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Why Do Large Enterprises Choose Oracle ERP

There are three main reasons why Oracle has so many great features. The first one is that their ERP is designed for scalability around the globe. They support multi-entity, multi-currency, and multi-language without any excessive amount of customizations needed to create it like other competitors.

A company that operates across 40 countries will be able to consolidate all the financials, manage all the purchase orders, and provide legal and compliance reports from one instance.

The second factor would be the depth of financial management they provide. Oracle has one of the most advanced financial software suites available on the market today, providing tools/services for everything from subledger accounting to prediction of cash flow.

The third factor would be that Oracle is able to provide localized versions of their software for each country concerning their taxation system, payroll system, and other statutory reporting systems, which would make them the obvious choice for a company that is doing business in multiple countries.

Industries with the Highest Oracle ERP Adoption

Manufacturing

Manufacturing is an area of exceptional strength for Oracle’s ERP solution. Oracle delivers production planning (including bills of materials), shop floor control (including work-in-process), and inventory management across a global footprint for manufacturers worldwide. With real-time visibility into the supply chain, manufacturers can respond more rapidly to supply chain disruptions. Integrated quality management helps manufacturers maintain compliance with mandatory industry standards.

Oracle’s advanced manufacturing function has functionality that allows manufacturers to connect their production schedules directly to their purchasing and logistics functions, thus shortening lead times and increasing on-time delivery performance. The end-to-end visibility that Oracle ERP provides continues to be a primary factor in manufacturers selecting the Oracle ERP solution over other ERP solutions.

Financial Services

The banking, insurance, and asset management industries are some of the most regulated industries in the world. With robust financial reporting, risk management and regulatory compliance modules, Oracle’s ERP software directly addresses the complexities of these industries.

Oracle’s ERP product is being leveraged by many financial services firms to automate the reporting of their IFRS, GAAP and various regionally specific regulatory requirements. Additionally, its capabilities to handle thousands of different financial entities and permutations of consolidation scenarios in real time enables CFOs and their compliance teams to have confidence in operating on a larger scale.

Healthcare

Healthcare organisations such as hospitals, healthcare systems and life sciences companies have specific challenges associated with managing their budgets, procurement management and compliance with vendors. Oracle ERP gives healthcare organisations the ability to automate their accounts payable processes, manage complex procurement contracts, as well as ensure compliance of their procurement practices with regulatory requirements.

Many of the larger hospital networks have chosen to implement Oracle ERP as a replacement for their existing fragmented legacy systems which has resulted in dramatic improvements in processing time as well as substantial increases in visibility into their spending.

Retail and E-Commerce

As a retailer, you’re living in an age of omnichannel retailing, where having visibility into your inventory is crucial. In order to be successful, retailers who use Oracle ERP will have instant access to their inventory in both brick and mortar locations as well as warehouses and e-commerce fulfillment operations. 

This provides retailers with accurate forecasting of demand, reduces the number of stockouts, and streamlines order orchestration.

Additionally, Oracle ERP is integrated with Customer Data Platforms (CDPs) and e-commerce platforms, which gives the retailer a solid operational infrastructure to deliver a consistent customer experience across all channels.

Logistics and Supply Chain

Logistics companies and third-party providers use Oracle ERP to oversee warehouse operations, distribution planning and optimize transportation. Current conditions of global supply chains are such that demand fluctuation, geopolitical issues and diminishing capacity create continuous strain. 

Consequently, the need for supply chain management capabilities to Oracle ERP has reached unprecedented levels. Real-time tracking of inventory, automatic replenishment functions, and integrated carrier management allow logistics firms the option of operating more efficiently and responsively.

Why Enterprises Choose Oracle ERP Over Other ERP Platforms

Enterprise-Level Scalability

ERP by Oracle was created to handle complexity. It serves multi-entity corporations who have many legal entities, different accounting standards around the world (such as IFRS or GAAP), and a volume of transactions that Smaller Solutions would be unable to handle. When companies become larger due to mergers and acquisitions, the Enterprise Resource Management system from Oracle can scale up to support additional businesses without requiring extensive configuration changes.

Advanced Analytics and Reporting

Oracle ERP has many analytical capabilities that greatly surpass the typical methods for generating reports on financial data. Dashboards that are updated in real-time allow finance departments to see their KPIs immediately. Predictive analytics allow procurement managers to anticipate and prepare for disruptions in their supply chain. Report generation that uses AI technology can quickly identify anomalies and find reasons for deviations, so finance workers no longer have to spend hours manually reviewing reports.

Strong Cloud Ecosystem

Oracle Fusion Cloud ERP is completely bonded with Oracle’s whole cloud offering (including Oracle HCM Cloud, Oracle SCM Cloud, and Oracle CX). This close-knit relationship in all areas of the Oracle ecosystem minimizes how much you spend managing several different enterprise systems, and it also means that any data can move easily between HR, finance, operations, and customer related functions.

Oracle ERP vs. Other Leading ERP Platforms

FeatureOracle ERPSAPMicrosoft Dynamics 365
ScalabilityDesigned for large and complicated organizations that have high transaction volumes and multiple entities.Suitable for environments that require a lot of structure and processes; manufacturing and supply chains fit in best.Good scalability to larger implementations starting from mid-market businesses.
Cloud ReadinessNatively cloud-based (Oracle Fusion Cloud); frequent updates and minimal on-premises deployment needed.Great cloud product via S/4HANA Cloud, but most legacy users have hybrid cloud/on-premises setups.Integrated with Microsoft Azure; great cloud migration experience and Office 365 integration.
Financial ManagementPowerful audit-ready financial module popular among finance departments in regulated industries.Great financial controls and deep configuration capabilities for global, multicurrency implementations.Great core financial management and good user experience for companies growing out of QuickBooks.
AnalyticsNative embedded analytics and reporting built into the system.Uses SAP Analytics Cloud for powerful real-time analytics across different functions.Native integration with Power BI allows us to build easy-to-use dashboards with little help from IT.

Oracle ERP Cloud Adoption Trends in 2026

Growing Shift Toward Cloud ERP

Over the last couple of years, the shift away from traditional Oracle ERP systems installed locally on-premise and moving into Oracle’s Fusion Cloud ERP product has greatly increased as businesses that have continued to hold on to aging Oracle versions (like EBS or JD Edwards) move to complete cloud transformations in order to keep pace with innovation and reduce the cost of maintaining legacy infrastructure.

Hybrid implementations continue to be normal in many large organizations during their transition period; however, complete cloud-based ERP implementations are becoming the expected way of deploying ERP for all new users, as well as for businesses that are re-architecting their existing ERP systems.

1: AI-Powered Financial Operations

Oracle has invested substantially in embedding AI into their Cloud ERP solution. By 2026, AI-enabled financial processes will have shifted from being considered ‘competitive differentiators’ to being recognized as expected functionalities. Examples of such processes that are now commonplace among Oracle ERP customers include recommended/automated journal entry postings; AI-enabled cash flow forecasts; and accelerated closure of accounting periods utilizing intelligent processes.

2: Automated Procurement

Increasingly, procurement staff in organizations implementing Oracle Enterprise Resource Planning (ERP) software are utilizing automation throughout the purchasing process to minimize the number of times a user interacts with the system during purchase processes (by generating an automatic order for each purchase, matching supplier invoices to POs, and managing exceptions). The impact of automation from Oracle on these procurement processes generates measurable savings and reductions in cycle times for business customers’ purchases.

3: Real-Time Supply Chain Visibility

The disruption of the supply chain has raised the significance of real-time visibility to a permanent status. Exclusive to Oracle ERP, clients are leveraging integrated supply chain management features in order to track their inventory levels and determine when an order has been shipped or whether or not they need to react to a supply chain disruption in time. Furthermore, AI-based demand sensing will help supply chain professionals predict changes before they result in either lost sales due to stock-outs or overstock of goods.

4: ESG and Compliance Reporting

Multinational corporations have made Environmental, Social, and Governance (ESG) reporting a top priority at the Board level. With these regulations tightening globally, Oracle ERP is enhancing the capabilities of its compliance and sustainability reporting to enable finance teams to capture, consolidate, and report ESG metrics alongside financial metrics. As ESG disclosure regulation becomes more stringent at a global level, the built-in compliance frameworks of Oracle will be a major factor in purchasing decisions.

Regional Analysis: Where Oracle ERP Adoption Is Growing

North America

The U.S. is the biggest market for Oracle’s ERP solution, and in particular its Financial Services, Health Care, Manufacturing, and Technology verticals are leading the way in terms of widespread customer adoption. In addition, most of the world’s largest Oracle ERP installations are in the United States. Furthermore, the U.S. continues to lead the charge for Oracle Cloud ERP by helping enterprises improve their infrastructure.

Europe

European organizations are challenged by complex regulations in multiple countries, thereby making the localization features of Oracle ERP extremely useful. These features allow customers to comply with the European Union’s General Data Protection Regulation (GDPR), keep track of value-added tax (VAT) reporting, and meet other requirements mandated by individual countries.

Asia-Pacific

In Asia-Pacific, Oracle Cloud is the leading provider of Enterprise Resource Planning software, with the biggest increase occurring in countries like India, Australia, Japan, and Southeast Asia. MCC and other major businesses are adopting Oracle Cloud ERP solutions because they require flexible and scalable infrastructures to facilitate their international expansion and grow rapidly in their industries (including manufacturing, IT services, and financial services).

Middle East

A number of government organizations, sovereign wealth funds, and large conglomerates in the U.A.E., Saudi Arabia, and Qatar have chosen to implement Oracle ERP solutions as part of their overall digital transformation efforts, as well as to help support the goals of Vision 2030. The vast experience of Oracle in the region and in working with government entities makes it the vendor of choice for ERP platforms in these markets.

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What Oracle ERP Adoption Means for B2B Marketers

Identifying High-Value Enterprise Prospects

Knowing the names of the companies running Oracle ERP is not just an exercise in learning for technology vendors, consultants, and service providers; it is also a means to identify high-potential enterprise customers. The organizations already using Oracle ERP represent very high potential for complementary offerings such as system integration services, analytics tools, cybersecurity platforms, and managed services.

In addition, the use of Oracle ERP will also provide an indicator of overall levels of digital transformation maturity. These companies are currently making investments in technology solutions, they have established IT decision-making processes and structures, and they typically have an interest in any solution that would enhance or further the value proposition of their investment in Oracle ERP. 

Target Decision Makers

When working with Oracle ERP vendors, the decision-makers are typically:

CIO (Chief Information Officer): Strategic oversight/implementation of vendor and technology strategies;

CFO (Chief Financial Officer): Financial management and reporting enhancements;

CTO (Chief Technical Officer): Cloud strategy and integration architecture;

ERP Directors & IT Managers: Daily management of Oracle environments and evaluation of additional solutions;

Procurement Leadership: Evaluation of solutions that interface with Oracle’s procurement module.

How to Reach Companies Using Oracle ERP

An effective outreach program targeting Oracle ERP users must be based on data. The best strategies include:

  1. Account-Based Marketing (ABM): Build target account lists of existing Oracle ERP customers and create focused marketing campaigns that address the specific challenges and use cases each account has.
  1. Technographic Targeting: Leverage technographic data to identify companies that implemented Oracle ERP nationwide. This will allow the marketing and sales teams to focus on accounts based on the size of their deployment, product version, and when their contracts are due for renewal.
  1. Industry Segmentation: Adoption patterns of Oracle ERP by industry can vary greatly; therefore, ensure your outreach by vertical industry to directly address the specific challenges the prospect is facing.
  1. Personalized Outreach: Generic messaging does not appeal to any enterprise buyer. By using personalized outreach that identifies the prospect’s specific Oracle deployment, industry, and business challenges, results will be much better than by sending broad-based outreach.

The Future of Oracle ERP: What to Expect Beyond 2026

According to the roadmap for its products, Oracle is moving towards creating an ERP platform that is autonomous, intelligent, and industry-centric.

Autonomous finance is one of the most revolutionary trends that can be expected in the coming years. Oracle has placed tremendous importance on integrating AI into its systems to enable financial activities such as period close, reconciliation, and reporting to become fully automated. The finance department would become involved in only exception management and strategy.

An intelligent supply chain would involve the use of artificial intelligence and machine learning techniques to anticipate any disruptions, dynamically manage inventory, and coordinate supplier networks. Given the unpredictable nature of global supply chains, this would definitely be a major advantage for Oracle ERP software users.

Adoption of Advanced Cloud will be further fueled by Oracle’s continued investment in its cloud platform and growth of its data center presence worldwide. Oracle’s sovereign cloud solutions will be helpful to enterprises in industries subject to regulations, enabling cloud implementation within the geographical limits prescribed by regulations.

Industry-specific ERP advancements will enable Oracle to develop its industry expertise. Look out for more modules specific to life sciences, defense, utilities, and construction sectors.

Conclusion

In 2026, Oracle ERP continues to be one of the most impactful ERP software solutions used by companies worldwide. Various industries from manufacturing to health care, retail to logistics, and finance continue to utilize Oracle ERP solutions for managing complex operations and implementing their long-term business strategies.

With the increase in Oracle Cloud use and modernization of legacy IT infrastructures at corporations, the composition of companies using Oracle Cloud will keep changing. 

For B2B service providers and marketers, as well as other professionals working with Oracle, knowing which businesses have Oracle ERP solutions and why they are using it is critical information.

No matter what business objectives you ppursue,whether you need prospects, want to assess the competitive positioning of your product, or just want to understand the business software market better, Oracle ERP adoption information is key.

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Why Enterprises Are Switching to SAP S/4HANA

by Technology

The Digital Transformation Driving Modern Enterprises

Enterprise technology is evolving at an incredible pace. Modern enterprises require speedy decision-making, analytical insights on the fly, process automation, and platforms that allow global scaling without compromising performance. The old-generation ERP systems that used to facilitate the growth of enterprises have now turned out to be hindrances for innovative growth.

It is one of the key reasons behind the migration of companies from different industries to SAP S/4HANA.

The manufacturing industry, the retail sector, healthcare providers, as well as companies operating in the field of finance and banking – all kinds of enterprises are updating their IT infrastructure in order to stay relevant in the digital age.

SAP S/4HANA is not an ERP system improvement. It is more than that – it is an approach to managing business processes, analyzing data, improving customer experience, and preparing for further changes.

What Is SAP S/4HANA?

SAP S/4HANA is the next-generation ERP system from SAP that leverages SAP HANA’s in-memory technology. In contrast to conventional ERP software that uses traditional disk-based databases, SAP S/4HANA allows the processing of large amounts of data in real-time.

This facilitates the following capabilities:

  • Analysis of live business data
  • Simplification of business processes
  • Operational efficiency gains
  • Workflows automation via AI and machine learning
  • Infrastructure simplification
  • Faster reporting and forecasting

The system combines finance, supply chain, procurement, sales, manufacturing, customer management, and analytics within a unified, intelligent ERP system.

With growing focus on digital transformation projects within businesses, SAP S/4HANA has emerged as a high priority for CIOs and IT heads.

Why Enterprises Are Moving Away from Legacy ERP Systems

ERP systems that were developed earlier have become outdated as they were designed for an earlier era. Many companies still operate on legacy systems that reduce efficiency and limit their capacity for innovation.

Some of the problems created by older ERP systems include:

  1. Slow Data Processing

Legacy systems usually process data in batches, thus taking time to provide important information that could be useful for making informed decisions.

2. Complicated Architecture

Companies often implement legacy systems that incorporate various applications that work separately from one another.

3. High Maintenance Expenses

Companies must make numerous expenditures when using legacy systems, including hardware, database management, and other costs associated with maintenance.

4. Real-Time Analytics Limitations

Executives now want to have access to real-time dashboards and advanced analytics tools, which legacy systems cannot deliver.

5. Integration Problems

Technological innovations, such as artificial intelligence, the Internet of Things, automation, and others, are hard to implement within legacy ERP systems.

SAP S/4HANA solves these problems through its simple and intelligent architecture.

The Top Reasons Enterprises Are Switching to SAP S/4HANA

Real-Time Analysis and Speedy Decision-Making

Perhaps one of the greatest strengths of SAP S/4HANA is that data analysis is done in real time.

With this system, it means that business people do not have to wait days or hours before getting their reports; they get instant access to their operations. In addition, they can make speedy decisions in response to market changes, customers’ needs, and other issues.

A manufacturing companies using SAP S/4 HANA, for instance, can identify problems in its production process at the earliest possible opportunity and rectify them right away.

Simplified IT Infrastructure

Data redundancy is greatly minimized by the SAP S/4HANA solution, as well as simplification of database architecture.

Typically, conventional ERP systems need several aggregate tables, indexes, and also have dedicated reporting systems. These aspects are considerably simplified by the use of the in-memory computing capability of SAP S/4HANA.

Some of the benefits are:

  • Improved performance of the system
  • Decreased size of the database
  • Reduced cost of hardware resources
  • Simplified management of the system

Better User Experience with SAP Fiori

Contemporary workforce requires user experiences like that offered by consumer apps.

There is SAP Fiori included in SAP S/4HANA which offers intuitive user experience.

The employees can access dashboard, workflow, approval process, and other analytical tools from applications with ease of use.

For instance, the procurement manager may perform purchasing request approvals using mobile applications without going into complicated ERP menus.

This kind of user experience improvement is contributing towards increased user adoption.

Cloud Adoption and Business Flexibility

With many organizations adopting cloud-first approaches, SAP S/4HANA has the ability to be installed in cloud or hybrid configurations.

An organization can select among:

  • SAP S/4HANA Cloud
  • Private cloud installations
  • On-premise installation
  • Hybrid installations

There are various benefits to cloud installations:

  • Faster installation process
  • Automatic software upgrades
  • Less hardware investment
  • Easier scalability
  • Greater accessibility

The importance of flexibility that cloud solutions provide is increasingly crucial amid the rise of remote working.

AI, Automation, and Intelligent Processes

Today’s organizations need more than just transactional systems; they need intelligence through automation.

This is because SAP S/4HANA incorporates cutting-edge solutions like:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Robotic Process Automation (RPA)
  • Predictive analytics

Automating tasks will be easier by adopting these tools, and they will make forecasting more accurate.

For example, financial teams will be able to automate invoice reconciliation and fraud prevention. Supply chain teams will be able to predict inventory shortages using predictive analytics.

Improved Financial Management

Adoption of SAP S/4HANA is also influenced by the finance transformation initiative.

SAP S/4HANA delivers a single financial data model that helps organizations achieve:

  • Fast financial close
  • Timely profitability analytics
  • Compliance reporting
  • Greater visibility of cash flows
  • Predictive analytics

The CFOs gain real-time insights about the company’s financial performance without having to depend on various disconnected systems.

This results in better decision-making.

Which Companies Are Moving to SAP S/4HANA? Industry-Wise Breakdown

As organizations modernize their ERP landscapes, SAP S/4HANA has become the preferred platform for digital transformation. With mainstream support for SAP ECC ending in the coming years and businesses demanding real-time analytics, automation, and cloud-enabled operations, enterprises across industries are accelerating their migration programs.

From manufacturing giants to retail leaders and pharmaceutical companies, organizations are adopting SAP S/4HANA to streamline operations, improve decision-making, and prepare for future growth.

The following industry-wise breakdown highlights some of the notable enterprises that have adopted or are migrating to SAP S/4HANA and the business objectives driving their transformation initiatives.

Manufacturing & Industrial Companies

Manufacturers are among the earliest adopters of SAP S/4HANA due to their need for integrated supply chain management, production planning, and operational visibility.

  • Siemens

Siemens has been actively modernizing its enterprise systems to support global manufacturing operations and digital transformation initiatives.

  • Bosch : Bosch has invested heavily in digital manufacturing and connected enterprise systems, making SAP S/4HANA a key component of its transformation strategy.
  • Schneider Electric: Schneider Electric uses SAP technologies to improve operational efficiency, sustainability reporting, and supply chain visibility.
  • United Tractors: The Indonesian heavy equipment manufacturer migrated to SAP S/4HANA on Microsoft Azure to support business growth and operational agility.
  • Hochland: The global food manufacturer adopted SAP S/4HANA to modernize business processes and improve enterprise-wide integration.

Retail & Consumer Goods Companies

Retailers and consumer goods organizations are using SAP S/4HANA to manage complex supply chains and deliver better customer experiences.

  • Nestle: Nestle continues to modernize its digital infrastructure to support global operations and data-driven decision-making.
  • Unilever: Unilever has invested in enterprise modernization initiatives that leverage SAP solutions to improve operational efficiency.
  • Maxeda DIY Group; The European retail company implemented SAP S/4HANA to modernize its digital core and support omnichannel retail operations.
  • Colombina: The multinational food company migrated to SAP S/4HANA to improve supply chain efficiency and operational performance.

Pharmaceutical organizations require highly regulated, compliant systems that can support complex global supply chains.

  • Pfizer: Pfizer executed a large-scale SAP S/4HANA transformation to modernize operations and improve process efficiency.
  • Chiesi : The global pharmaceutical company migrated to SAP S/4HANA Cloud Private Edition to support future growth and innovation.

Pharmaceutical & Healthcare Companies

Telecommunications providers process millions of transactions daily and require scalable ERP systems.

  • Vodafone: Vodafone undertook one of the largest SAP S/4HANA migration projects globally, modernizing its enterprise landscape across multiple regions.
  • Accenture:  completed a major SAP S/4HANA transformation to simplify processes and support global operations.
  • Bain & Company: Bain adopted SAP S/4HANA Cloud to standardize business operations across multiple countries.
  • Deloitte: Deloitte continues to expand its SAP capabilities while supporting enterprise-wide transformation initiatives.
  • Food, Beverage & Agribusiness Companies: Food and agribusiness organizations depend on accurate forecasting, inventory management, and supply chain coordination.
  • WayCool: The agritech company migrated to SAP S/4HANA to create a unified digital platform connecting farmers, suppliers, and customers.
  • Anjani Food & Beverages: The company adopted SAP S/4HANA Cloud ERP to support growth and operational excellence.

Organizations generally choose one of three migration paths:

1. Greenfield Implementation:

A completely new SAP S/4HANA environment built from scratch.

Best for: Companies seeking extensive process redesign.

2. Brownfield Conversion: A direct conversion from SAP ECC to SAP S/4HANA.

Best for: Organizations wanting a faster migration with minimal disruption.

3. RISE with SAP: A cloud-based transformation approach combining SAP software, infrastructure, and migration services.

Best for: Businesses prioritizing cloud adoption and operational flexibility.

Industries Rapidly Adopting SAP S/4HANA

There has been an uptake of SAP S/4HANA in various sectors.

  1. Manufacturing

The manufacturing sector uses SAP S/4HANA for better planning, supply chain monitoring, and efficient production operations.

Real-time analytics allow less downtime and better inventory control.

2. Retail and E-commerce

Businesses operating in retail and e-commerce utilize the platform for the integration of customer information, enhanced forecasting, and personalized customer experiences.

Omnichannel operations and fast order fulfillment are also enabled by the system.

3. Healthcare

Healthcare organizations utilize the software in their procurement process, better patient-related activities, and financial processes.

Financial Services

Financial services firms make good use of SAP S/4HANA to manage regulatory, financial risks, and enhance reporting abilities.

Technology and SaaS Companies

Technology firms utilize the platform to expand their operations internationally and to support sophisticated subscription-based models.

SAP ECC End of Support Is Accelerating Migration

Another big reason for companies moving to SAP S/4HANA is the impending end-of-mainstream-support for SAP ECC.

Companies aware of the legacy SAP ERP system are well aware that waiting any longer will pose future challenges and complexities.

Firms are preparing themselves by taking proactive measures, which include the following:

  • Preventing any kind of disruption
  • Minimizing technical debt
  • Remaining competitive
  • Possessing the ability to innovate in the future.

SAP ECC End of Support Is Accelerating Migration

Another big reason for companies moving to SAP S/4HANA is the impending end-of-mainstream-support for SAP ECC.

Companies aware of the legacy SAP ERP system are well aware that waiting any longer will pose future challenges and complexities.

Firms are preparing themselves by taking proactive measures, which include the following:

  • Preventing any kind of disruption
  • Minimizing technical debt
  • Remaining competitive
  • Possessing the ability to innovate in the future.

Common Challenges Enterprises Face During Migration

However, despite the advantages, migration of SAP S/4HANA is a complex transformation process.

Data Migration Challenges

Large companies have a lot of historical data. Migration, validation, and cleansing processes can take much time.

Change Management Problems

Staff may be resistant to new processes and technology. It requires effective training and change management.

Customization Complications

Companies use many customized legacy applications. These will need a revision during migration.

Budgeting and Timeliness Challenges

Enterprise Resource Planning migrations involve a lot of budget and planning. Bad project management will cause problems.

Nonetheless, many companies have been able to realize their migration potential successfully.

Best Practices for a Successful SAP S/4HANA Migration

Several areas need to be addressed when planning an organization’s migration strategy.

Set Clear Business Goals

Migration needs to be linked to digital transformation initiatives and not be regarded as a mere technological enhancement.

Conduct Infrastructure Assessment

Infrastructure assessment can assist in pinpointing any compatibility problems, customizations, and integrations needed.

Ensure High-Quality Data

Good-quality data will improve reporting, analysis, and efficiency during and after migration.

Offer Employee Training Programs

Training will help ensure user adoption that increases ROI from an ERP solution.

Consider Working with SAP Implementation Experts

Experienced implementation partners lower the risk associated with migrations.

The Future of Enterprise ERP

These systems are gradually becoming intelligent business platforms that facilitate automation, predictions, and AI-based decisions.

The SAP S/4HANA system is placed right at the center of all these developments.

In an age where businesses are increasingly embracing digitalization, firms require ERP systems that can handle:

  • Retim operations
  • Scalability across the globe
  • Smart automation
  • Cloud-based innovations
  • Data-driven decisions

Organizations that embrace modernization earlier get ahead of the game.

Why SAP S/4HANA Matters for Business Growth

Modern businesses will have no chance at competing in this ever-changing environment unless they are using advanced infrastructure solutions.

SAP S/4HANA allows companies to achieve the needed levels of agility, speed, intelligence, and scalability for the successful operation in the current business landscape.

This includes everything from increasing efficiency in the operations to providing real-time insights into the work and automating different processes.

The adoption of an ERP modernization strategy is crucial for the continued success of any business today.

Looking for Companies Using SAP S/4HANA?

Knowing which companies are utilizing SAP S/4HANA could assist organizations in finding out about current trends, forming strategic partnerships, and reaching target audiences.

Should your business offer:

  • Consulting services for ERP software
  • Implementation of SAP solutions
  • Cloud migration
  • Information Technology recruitment
  • Business-to-business technology products
  • Software integration services

Then, accessing verified and validated SAP S/4HANA customer data can significantly improve your sales and marketing strategy.

Explore Verified SAP S/4 HANA Users Data

Find specific contacts within companies, industry-related information, and details about decision makers to speed up your B2B marketing campaigns and lead generation initiatives.

Gain access to:

  • SAP S/4HANA Users
  • SAP ERP Customer Lists
  • Adoption of Enterprise Technology Information
  • Industry-Specific Prospects

Start leveraging your enterprise sales today.

Buy SAP S/4 HANA Users List

Frequently Asked Questions

SAP S/4HANA leverages SAP HANA in-memory database to provide speed and real-time analytics. The difference from SAP ECC is that SAP S/4HANA possesses a more streamlined data structure, contemporary UI, and intelligent features like AI and machine learning.

The SAP S/4HANA software suite provides various deployment options such as cloud, private cloud, hybrid cloud, and on-premises deployments. The enterprises have options for deployment according to their needs.

The time it takes to implement SAP S/4HANA depends upon various factors such as size of organization, complexity of data involved, type of deployment, and need for customization.

A number of leading businesses from various industries including manufacturing, retail, finance, healthcare, and IT have implemented SAP S/4HANA.

Some of the top companies using SAP S/4 HANA are:

  • Walmart
  • Apple
  • Volkswagen Group
  • CVS Health
  • Johnson & Johnson
  • Microsoft
  • Coca-Cola
  • Dell Technologies

SAP S/4HANA enhances supply chain management with real-time tracking of inventories, predictions, procurement automation, and improved logistics.

Companies need to assess various aspects such as current ERP system infrastructure, customization needs, and training of staff before proceeding to migration.

Companies can leverage technology intelligence solutions, ERP customer lists, and B2B data companies to find companies using SAP S/4HANA.

Companies are migrating to SAP S/4HANA to improve operational efficiency, gain real-time business insights, simplify IT landscapes, and support digital transformation initiatives. The platform offers faster data processing, advanced analytics, cloud capabilities, and a modern user experience, helping organizations become more agile and competitive.

SAP S/4HANA provides real-time analytics, faster business processes, simplified data management, improved user experience through SAP Fiori, and enhanced automation capabilities. It also supports cloud deployment, AI-driven insights, and seamless integration with enterprise applications, enabling organizations to make faster and more informed decisions.

How a SaaS Company Providing CRM Migration Services Increased Outbound Pipeline Generation by 2.4X

How a SaaS Company Providing CRM Migration Services Increased Outbound Pipeline Generation by 2.4X

by Case Study

Client: Mid-Market SaaS Company

The Challenge

This software-as-a-service (SaaS) organization aids medium-sized and large-scale firms with the transition from older customer relationship management (CRM) systems to new ones. The most common endpoint after retirement from previous systems is the Salesforce CRM. 

They had a precise ideal customer profile (ICP). They developed their pitch very effectively, and they applied all of the correct sequences for targeting these organizations. However, the pipeline created by the outbound sales team was stagnant, with no momentum toward growth and new opportunities. 

The company’s director of revenue operations conducted a diagnostic and identified one primary variable that was impacting pipeline growth: data. Their large-scale, generic B2B database did give broad market coverage, but it did not give them the data depth needed to make the right assessments regarding their sales efforts. 

The database did not contain verifiable information that would have allowed them to determine which companies were actually using (and would want to use) the Salesforce CRM, who decided to migrate, or if any of the potential or existing accounts actually had a reason to migrate from their previous CRM system to the Salesforce CRM.

The results of limited data depth were numerous:

  • High bounce rates from email messages being sent to outdated or unverifiable contacts. 
  • Low response rates because their outreach material was not relevant to the person receiving it. 
  • Very low quality of leads, with only a couple of leads converting to sales opportunities. 
  • A considerable amount of the sales reps’ time is being consumed trying to do account research that the database was intended to handle. 
  • The sales team was not deficient in activity; they just did not have accurate and actionable information to base their activity upon.

The Solution

As part of the evaluation process of various data providers, the company chose to work with LogiChannel, where they were able to use our verified, refreshed  Salesforce customers list as a resource to find companies that use Salesforce to enhance their sales system as part of their outbound prospecting efforts.

The data contained for each company includes: 

  1. The vertical of the company
  2. The revenue of the company 
  3. The number of employees
  4. The geographical location of the company and 
  5. The signal that the company uses Salesforce

For each contact within the organization, the data contains: 

  1. The name of the decision maker
  2. The verified job title of the decision maker 
  3. The business email address
  4. The direct telephone number and
  5. The LinkedIn url

For a sales team that sells CRM migration services, this was not simply useful, but it provided a fundamentally different approach to the prospecting process.

The Execution

Using precision segmentation to target new business after conducting a thorough review of the Salesforce Customers List, LogiChannel was able to create a more precise target account universe using 3 filters: companies with 200 – 2000 employees who operate in financial services, professional services, or healthcare technology, and have decision makers such as VP of Sales Operations, CRM Administrators, Director of Revenue Operations, and CTOs. 

The result of these filters was 3,200 tightly defined accounts; this compared to over 15,000 loosely defined contacts before this exercise. Although there are fewer total accounts now, there is a much greater level of specificity.

With a more cleanly defined account list, LogiChannel was able to completely rewrite its outreach sequences. 

The previous messaging was product-focused and explained what they did and why CRM migration was important; the new messaging was context-focused and provided information about the potential pain points for the target based on their role and industry. 

For instance, when reaching out to a VP of Sales Operations within a financial services firm, they were able to discuss the restrictions associated with Salesforce integrations in regulated environments. 

Similarly, when reaching out to a CRM Administrator within a healthcare technology company, they were able to directly address the challenges to maintaining data integrity during platform transitions.

These weren’t just plain old personalization tokens. They were REAL conversations that were personalized due to having access to all that data (which allowed us to have authentic conversations). Our reply rates improved within the first two weeks.

Sales and Marketing Alignment

A less obvious but very significant impact on the data was what it did for cross-team alignment. Before LogiChannel, Marketing would run campaigns to build awareness for one audience and the Sales teams would have no idea that this same group was being given a different marketing message.

With the Salesforce Customers List as a common starting point, both Teams were focused around the exact same list of 3,200 Target Accounts. Marketing created LinkedIn Ad Campaigns and Content Syndication for 100% of the Target Accounts. Sales teams were able to see engagement signals before reaching out. 

The end result was Coordinated Multi-Channel Outbound motion. Every target received consistent messaging at the point they come into contact with the brand.

Data Refresh on a Regular Basis

The team has also pledged to replace their stale contacts, update company records & continuously validate their email addresses with a Data Refresh from LogiChannel approximately every 60 days. Data (B2B) decays very quickly. 

People change jobs. Job function or roles change. A list that isn’t regularly updated slowly loses accuracy every single week. Therefore, continually refreshing their lists ensures that the team is always working with current, deliverable information.

The Results

  • Outbound Pipeline Generated 2.4X increase vs. prior quarter.
  • Email Open Rate increased by +47%
  • Reply Rate increased by +34%
  • Sales-Qualified Leads increased by +41%
  • Email Bounce Rate decreased by -62%
  • Average Sales Cycle Length reduced by -18%

All metrics clearly displayed the benefits 90 days later. More than double the pipeline was generated by the team without any changes made to products or hiring additional employees. 

The 62% decrease in bounce rate had stopped the up-to-that-point negative impact on the sending domain’s reputation due to undeliverable addresses. And the shorter sales cycles showed how prospects would interact with sales organizations if they began to have relevant and contextual conversations from their first touchpoint.

“We did not change our product. We did not change our people. We changed what we knew about who we were speaking to; therefore, everything downstream improved.”- The Head of Revenue Operations

Increase Outbound Pipeline Generation by 2.4X With Our Salesforce Customers List

Buy Salesforce Customers List
how-financial- software- companies-use- accountants- contact-databases- to-drive-growth

How Financial Software Companies Use Accountants Contact Databases to Drive Growth

by Technology

Unlike a generic SaaS product, selling financial software is about the ultimate buyer’s specific type of person who makes a well-thought-out decision. Specifically, you need to sell these products to accounting professionals (accountants, certified public accountants (CPAs), financial directors, and CFOs). They all have minimal tolerance for anything irrelevant and high expectations of what they will expect from any financial software solutions they purchase.

For most financial software companies, this presents a unique set of obstacles. You know exactly who you want to sell to, and yet you have difficulty locating these individuals and/or connecting with them at the right time so that you can provide them with information that captures their interest; however, having access to an accountant’s contact list will make the process much easier to accomplish.

In this blog, we will outline how various financial software companies utilize accountant contact lists to drive ‘true,’ measurable growth opportunities through creating better prospect databases by running campaigns that convert.

What Is an Accountant's Contact Database

What Is An Accountant Database

An accountant’s directory is an accurate, organized collection of contact & company information for accounting professionals across a wide range of industries and firms. A typical accountant’s directory includes the following: full name and position title (CPA, Controller, CFO, Finance Manager, etc.); ); business email address (verified); direct telephone number; company name, size, and industry; geographic area; link to their LinkedIn profile; and firm type (public accounting, corporate finance, advisory, etc.).

For financial software companies, an accountant’s directory is more than just a list of names. It is a map of the entire addressable market that has been organized, segmented, and made ready to activate through your sales and marketing channels.

The difference between utilizing a generic business-to-business directory and utilizing a directory focused on accountants is akin to fishing with a wide net compared to fishing specifically in the right waters.

Why Financial Software Companies Need Specialized Data

Broad industry coverage is one of the selling points of nearly every B2B data provider in the market today. While this is a helpful feature for businesses with widespread ideal customer profiles (ICPs), it is ultimately not the right fit for many financial software providers seeking specific audiences within their ICPs.

Your financial solution serves a very narrow group of individuals with specific problems; therefore, accountants studying the use of tax automation won’t find any relevance in a logistics manager’s use of your product.

When your business uses generic databases when researching or targeting prospects, certain issues arise:

  1. Lack of relevant contacts — A generic prospecting list will contain a wide variety of titles/industries that will not have any need for your product. Wasting outreach resources on irrelevant contacts results in diminished effectiveness of your solution or, in effect, dilutes the overall performance of the campaign.
  2. Outdated data—Generic databases are often not updated on a regular basis, causing your outreach to bounce at an alarming rate, which ultimately leads to irreparable damage to your email sender reputation over time.
  1. Missing context—Without key information regarding firm size and specialty, geographic location, and technology usage, potential outreach messages cannot be personalized and,, assuch,h will not resonate with accounting professionals.

Having access to a dedicated accountant’s contact database addresses all three of the above problems from the outset.

Ways Financial Software Companies Use Accountants Contact Databases to Drive Growth

1. Building a Precisely Targeted Prospect List

In order for an outbound marketing campaign to be successful, a clearly defined prospect list is the foundation. For example, financial software companies will want to have a list of prospects that reflects the intricacies of the accounting profession, which means not just using job title filter(s). 

If a tax software company wants to develop a clear target audience, for example, they would most likely create different segments of their audience, such as independent CPAs and smaller public accounting firms (as opposed to large corporate finance departments). 

If a financial close automation platform is looking to build out its target audience, it will likely want to target Controllers and VPs of finance with companies/organizations that fall within the mid-market segment (those with 200 to 1,000 employees). 

If audit software companies want to segment their target audience, they will likely want to be targeting those in regulated industries where audit complexity is likely the highest (banking, healthcare, insurance). 

Additionally, having access to an accountants contact database, will allow for this level of audience segmentation to take place by allowing marketers to focus on developing a list of targeted individuals that is based on using relatively few contacts  (in this case, 5,000) who would be most likely to engage in your company’s outreach efforts as opposed to having a large number of contacts (50,000 or so) who would be less likely.

2. Running Personalized Email Campaigns That Actually Get Replies

Many accounting professionals receive cold emails daily, but they rarely read them. Most email inboxes are filled with generic, product-focused messaging that does not show an understanding of the recipient’s job duties, so a lot of these emails end up in the trash without even being opened.

However, some financial software companies cut through the noise of email junk and deliver value through well-thought-out, targeted outreach to specific departments/roles type across multiple companies. 

The best way to accomplish this would be to build a comprehensive accountant’s email list and build targeted messaging based on the receipt’s specific role/industry and the context in which they are working. For example, an email sent to a CPA working for a mid-size public accounting firm could acknowledge the increase in volume of work experienced due to tax season and how the financial software can reduce the time spent on manual bookkeeping during the first quarter. 

Similarly, an email sent to the Financial Controller of a manufacturer could outline the unique pain points (e.g., the amount of time required for closing the month-end book across multiple entities) that need to be addressed in order to streamline their month-end close process.

Email outreach to the above-mentioned people should not be accomplished through simply adding the first name token into a generic email template. Instead, the outreach should have been written as if it were solely for him/her and should have had a personal touch associated with it (like a personal email). 

Ultimately, when the recipient feels like the email was written directly for him/her, he/she will be more likely to open the email, respond to the email, and/or put him/herself into your pipeline as someone who is interested in learning more rather than just being a name on a list.

3. Powering Account-Based Marketing (ABM) Campaigns

Account-based marketing (ABM) has become one of the most effective strategies for marketing B2B software providers. ABM is the perfect fit for marketing financial software; the buyer universe is well defined; and the size of the deals warrant a high-touch approach.

With ABM, a focused list of target accounts are identified. Sales and marketing efforts then coordinate around each of these target accounts by delivering personalized messages via multiple channels simultaneously.

A contact database of accountants provides the foundation for running an ABM program. The contacts verified in the database will supply the marketing team with the necessary verified data to execute targeted LinkedIn campaigns, programmatic ads, and content syndication to the specific firms and professionals they want to reach. 

The sales team will receive context to ensure that outreach to prospects for follow-up occurs in a timely manner that feels contemporaneous to the marketing outreach.

When sales and marketing are both using the same verified contact data, and targeting the same target accounts, the effect on the pipeline can be cumulative. Prospective customers will see your brand frequently across multiple channels, the message will have the same tone in multiple ways, and the time it takes to move from awareness to having a conversation with you will be substantially shorter.

4. Accelerating Product-Led Growth with Targeted Trial Outreach

In order to increase the rate of initial product adoption many financial software companies employ a ‘freemium/free trial’ type model. The challenge for companies having trial users convert to paying customers can be dependent on who their trial users are.  

Using your accountants’ contact database can assist financial software firms to be more proactive in getting relevant extra accountants (based on your ideal customer profile) into your trial process/funnel by identifying candidates (accounting firms & finance departments) and then providing targeted trial invitations directly to those individuals based on their role (job title). This will help ensure that you are bringing a higher quality of user into your product on day one and providing users likely to receive real value from the product & use important components of the product are more likely to convert to a paying customer. In addition, this approach will give your customer success team a cleaner and better-defined account base to work with during the trial period.

5. Supporting Channel and Partnership Development

Often, financial software companies do not grow as a direct result of their own sales but rather through building strategic alliances with CPA firms and other organizations where there are opportunities to recommend each other’s services and products, as well as leveraging associations that have an established reputation within the industry. 

There is no shortage of ways that you can build partnerships; however, the most successful way is to utilize CPA databases to identify and create these partnerships.

A CPA database can be an asset when your business development team uses it to find CPA firms of a size, specialty, or geographic regions that provide significant potential as either referral or reseller partners; identify CPAs and financial advisors who have established credibility and authority within their accounting community, or established advocates, potentially as channel partners, who would be able to recommend your product with credibility and authority. 

This is one way that CPA databases are used and often undervalued in favor of targeted outreach to the markets served; however, partnership-based growth is one of the least expensive acquisition channels for financial software and utilizing a CPA database to identify the most suitable partners is the first step.

6. Retaining and Expanding Existing Accounts

As previously mentioned, growth isn’t simply about finding more customers to buy from you; it’s also critical to the overall picture of revenue generation for most software companies offering financial products through upselling and cross-selling and renewing contracts with your current customers.

An accountant’s contact list will aid both retention and the ability to expand your business with the customer in two primary ways. First, by providing the Customer Success and Account Management teams with an accurate, current list of contacts at each customer location, either due to a change in decision makers or new budget holders coming into play, they will be able to react quickly to the changes taking place.

Second, a contact list can also assist in identifying potential areas for expansion of existing customers based on firmographics. For example, if a customer has added employees, opened new locations, or expanded into different services, these changes can typically be identified using firmographics before the company even enters into discussions about renewing the contract. 

Additionally, if you have accurate data to support proactive management of your current customers, you will begin having discussions about expanding the relationship with them before your competitors have a chance.

What to Look for in an Accountants Contact Database

Not every database has the same quality as far as content and contact source, and the quality of the database used by a financial software vendor can impact the success of every program or campaign that it supports. 

Here are a few things to consider when evaluating databases used by financial software companies:

Verification and Accuracy – Ensure vendors have a multi-step verification process that includes automated validation, human review, and real-time email verification against known good email addresses. Work with vendors that have a minimum 90% deliverable rate.

Depth of segmentation – The ability to segment contacts based upon criteria such as job title, type of business, size of business, type of industry, location of business, and level of authority is important for financial software vendors whose ideal customer profile (ICP) is precisely defined.

Compliance – The database must be fully compliant with GDPR, CCPA, and CAN-SPAM. Data privacy is not an option – it protects you legally as well as protecting your brand in the eyes of the professionals you are hoping to contact.

Your Search for Data – One way to ensure that you select the correct B2B Data supplier is to choose from the providers who add fresh data regularly, preferably every quarter. Since many accounting professionals change jobs often, it is important to choose a vendor who continuously maintains and updates their databases.

Customisation and Support – Good Providers will support you as you have communication with them pre-purchase and in a post-implementation phase of the data activation process. Good Providers will go beyond just providing your team with a spreadsheet of data as they will engage in discussions with you about your ideal customer profile (ICP), assist you with creating targeted segments, and help you activate your newly acquired data successfully.

Conclusion

The financial software industry includes a specific buyer type with significant decision making and a highly competitive nature. Generic messages to widely dispersed groups do not have success rates.  However, most leaders in the Marketing and Sales functions of these organizations understand this already. 

What does have success are targeted communications. Knowing precisely who the best prospects are and sending messages to those prospects that demonstrate an understanding of their business. In addition, all campaigns being developed (outreach via email, ABM outreach, trial outreach, partner development) must have a basis in accurate, vetted, and appropriately segmented data. 

The Accountants Contact Database is what enables campaign development based on precision at a high scale. 

This is not a “silver bullet” or “magic wand” piece of information. The messaging must be appropriate. The product must provide value. The sales process must be of a high quality. However, where strong go-to-market motions are integrated with a sound data infrastructure, these companies will experience consistently greater amounts of Pipeline, improved Conversion Rates, and fewer days for a Sale to be completed. 

If your financial software business is ready to make the transition from broad-based communications to data driven precision and growth based on intelligence, your first step should be simple: establish your foundational data prior to communicating to prospects.

Frequently Asked Questions

An Accountants Contact Database is a collection of verified contact information for accounting professionals such as CPAs, CFOs, Controllers, Finance Managers, and accounting firms. It typically includes business emails, phone numbers, company details, job titles, industry information, and geographic data.

A verified accountants database allows businesses to create personalized email campaigns based on job role, company size, industry, and business challenges. This increases open rates, response rates, and overall campaign performance.

Yes. Accountant contact databases help businesses generate qualified leads by targeting finance professionals who are actively involved in purchasing or evaluating financial software solutions.

LogiChannel’s accountants contact database is updated regularly to maintain high data accuracy and deliverability. Our team continuously verifies and refreshes contact information, including business emails, phone numbers, job titles, and company details, to ensure businesses can connect with the right accounting professionals at the right time. Regular updates help reduce bounce rates, improve campaign performance, and support better lead generation results.

Industries such as financial software, tax automation, audit solutions, accounting services, fintech, ERP software, and financial consulting can benefit significantly from accountants contact databases.

top-10-global-companies-using- serviceNow

Top 10 Global Companies Using ServiceNow and How It Transforms Their Business

by ServiceNow

Introduction

Companies are now focused on how quickly they can implement automation rather than deciding if they should. Workflows that get stuck, departments that are disconnected from one another, and IT functions that only react to events are no longer seen as market disadvantages; organizations are able to ignore inherent vulnerabilities in their current state due to the speed and accuracy with which they are competing in their respective industries.

ServiceNow has become the go-to solution for large organizations trying to deal with this new reality. With over 8,100 clients across 85 countries, ServiceNow is found in 85% of the Fortune 500 and has created the infrastructure necessary to allow some of the largest and most intricate organizations in the world to work smoothly together. 

With the help of ServiceNow companies of all sizes with large transaction volumes to centralize their workflows, automate repetitive tasks, and access artificial intelligence-enhanced insights. If businesses want to discover the potential prospects in the ServiceNow ecosystem, a ServiceNow customers list can help you to reach relevant ones and setup targeted B2B outreach campaigns.

So, what does ServiceNow look like in real life? What are companies that have used the platform doing with it and what do they get in return? In this post, we will provide examples of ServiceNow implementations in the marketplace today and why it is being so widely adopted.

What Makes ServiceNow So Powerful?

If you want to understand why ServiceNow has so much success with large, complex enterprises that are always struggling with operational sprawl and there are plenty of those types of businesses then here are some areas where ServiceNow has excelled: 

Workflow Automation at Scale: ServiceNow replaces traditional email chains, spreadsheets, and manual handoffs by providing structured, automated workflows for all the tasks you previously needed to go through several steps to accomplish. You can configure a series of tasks as an end-to-end process with an owner, SLA, and escalation.

ITSM and ITOM on a Single Platform: IT Service Management (ITSM) and IT Operations Management (ITOM) on the same platform allow for tighter integration between incident detection and resolution because users do not need to switch tools or lose context.

AI-Powered Decision Support: ServiceNow leverages AI in operations to provide operations teams with predictive insights, intelligent routing, and automated categorization through its Now Intelligence suite. This dramatically decreases the cognitive burden on human analysts while substantially reducing time to resolution.

Cross-Department Integration: One of ServiceNow’s strengths is the ability to effectively cross departmental boundaries. Departments such as HR, Finance, Legal, Procurement, and Facilities can utilize the same platform for delivering service, which reduces any friction associated with handing off services from one department to another.

Enterprise Scalability: ServiceNow has been designed to handle complex enterprises. Examples include multi-site deployments, global workforce management, heavily regulated industries and a large volume of transactions. In these examples the platform continues to deliver services at all times without making architectural compromises.

Top 10 Global Companies Using ServiceNow

These top 10 leaders are showing how ServiceNow’s value is being realized across industries and geographies as they leverage the platform to transform everything from IT and HR to customer service.

CompanyIndustryServiceNow Use Case
VodafoneTelecommunicationsCustomer Service Management (CSM), AI-powered workflows
DeloitteProfessional ServicesIT Service Management (ITSM), HR service delivery, risk management
KPMGProfessional Services & ConsultingIT Service Management, Security Operations, Integrated Risk Management, Legal Service Delivery
SiemensIndustrial Machinery & Equipment ManufacturingIT and OT Service Management, HR Service Delivery, and Customer Service Management
DXC TechnologyIT Services & ConsultingHR Service Delivery, knowledge management
HSBCBankingIT Service Management, Risk Management, HR Service Delivery, and Procurement operations
AccentureBusiness ServicesManage, internal enterprise operations, HR operations, and IT service delivery
UnileverConsumer Goods & FMCGIT Service Management, Strategic Portfolio Management, and Risk Management
AT&TTelecommunicationsManages IT operations, Events, incidents, workflow automation using ServiceNow
WalmartRetail, & E-commerceIT Service Management and Business Management, HR service Delivery

1. Vodafone:

vodafone

Industry: Telecommunications

Challenge: Vodafone has operations in over 20 countries and provides telecommunications services to hundreds of millions. The company had built up its IT infrastructure over many decades from both acquisition and organic growth and, over time, had created a patchwork of legacy systems that complicated change management and made it difficult to resolve service outages.

Solution: Vodafone deployed ServiceNow’s IT operations management capabilities to provide visibility throughout their entire infrastructure in real time. By configuring event management and automating impact analysis, when an issue on the network arose, the proper teams were alerted with the proper context rather than being bombarded with irrelevant information.

Business Impact: As a direct result of their ServiceNow implementation, Vodafone has greatly reduced the volume of major incidents. The average time to resolve incidents has decreased, and the network operation center staff now have a greater degree of situational awareness than ever before at this level of operation. Proactive identification of issues before impacting customers is now an achievable operational capability as opposed to being a goal.

 

2. Deloitte:

Deloitte

Industry: Professional Services / Consulting

Challenge: Deloitte has complexity associated with their size. It is difficult to manage HR processes, deliver IT services and enable collaboration across hundreds of thousands of employees within a global organization, particularly when different regions and practices within the business have historically operated with a high degree of independence from one another.

Solution: To address this challenge, Deloitte has used ServiceNow’s HR Service Delivery module to create a central point of access for all HR processes, such as adding or terminating employees, managing employee benefits and responding to employee inquiries. Deloitte has also implemented ServiceNow’s IT Service Management capabilities to support its internal IT organization and has integrated ServiceNow into its broader enterprise technology architecture.

Business Impact: As a result, Deloitte’s HR function has improved its ability to quickly and consistently process HR transactions. In addition, because employees can have self-service access to most of the HR services they need, the number of routine questions sent to the HR department is greatly reduced.

The integration of HR and IT processes has eliminated delays that existed before when an employee had to wait for IT access while their HR process was still being processed.

3. KPMG

KPMG

Industry: Financial Services / Audit & Advisory

Challenge: KPMG’s massive internal organization had thousands of employees working in over 140 countries. Departments such as HR, finance, and IT worked as separate units, providing no unified way for employees to access services or resources. As a result, employees experienced long wait times before being able to complete simple service requests.

Solution: A single portal was created using the ServiceNow employee experience platform. This allowed employees to access all service functions (including IT, HR, finance, legal, and facilities) from one online location and one set of tracking and escalation rules.

Business Impact: Employee satisfaction with internal service improved greatly. In addition, there was an overall reduction in operational costs associated with managing requests across many different systems. For a firm where internal efficiency supports the quality of client delivery, this was a significant competitive advantage.

4. Siemens:

4. University Hospital Zurich

Industry: Professional Services / Consulting

Challenge: Siemens is an enormous global industrial company with diverse sectors such as energy, transportation, healthcare, and automation. Coordinating IT Service Management for many global business divisions was challenging due to  each using different tools, processes, and service standards. 

Solution: Siemens decided to unify service management for all of its global businesses by implementing ServiceNow as the enterprise ITSM system, and using its service catalog and workflow capabilities to standardize how IT Services are delivered to the individual businesses. In addition, Siemens integrated ServiceNow to its existing enterprise applications, including SAP, therefore providing a seamless flow of data from one system to another and achieving enterprise wide consistency of data. 

Business Impact: Siemens has significantly reduced the costs associated with operating its IT organization as it has eliminated redundant tools and consolidated onto one platform. SAP’s use of ServiceNow has also reduced many of the issues that business segments experience as they work together, and by standardizing the service catalog, all Siemens employees receive the same quality of service regardless of which business unit or geographical location they belong to.

5. DXC Technology :

dxc-technologies

Industry: IT Services

Challenge: DXC Technology manages thousands of enterprise clients’ IT services around the world, offering them excellent service management via DXC’s internal use of service management tools. The internal service management workflows were disjointed due to the legacy systems still in place; therefore, the way they do business and run their own operations were causing a direct impact to the quality of the services provided to the client.

Solution: DXC uses ServiceNow as the foundation for both their internal and external managed services delivery. Internally, they’re using ServiceNow to create standardized employee workflows to improve the delivery of IT services to end-users. Externally, they’ve developed client-facing service portals and automated reporting dashboards on the ServiceNow platform.

Business Impact: DXC Technology has reported that they experienced a significant reduction in internal IT cost since migrating to the ServiceNow platform. But more importantly, they’ve been able to increase their overall speed of deployment of managed services to their clients with improved SLA compliance and reduced timeframes to onboard new clients.

6. HSBC:

HSBC

Industry: Professional Services / Consulting

Challenge: Operating in 64 countries and territories means that HSBC has one of the world’s most complicated regulatory and compliance environments. In addition, they must achieve rigorous security and audit standards in the deliverance of their IT services, while also providing fast and reliable solutions to the tens of thousands of internal users and the technology necessary to support global banking operations.

Solution: ServiceNow IT Service Management (ITSM) and Security Operations capabilities were used by HSBC to provide IT service delivery management and increase security posture at the same time. Security incident response workflows were automated to ensure that all potential threats were properly escalated, investigated, and resolved through an auditable, documented process for regulatory compliance.

Business Impact: Security operations teams at HSBC now have significantly improved visibility and response capabilities. Audit trails are cleaner and more comprehensive with less overhead for compliance. Security incident response times are reduced due to applying automation to routine security requirements, allowing analysts to spend time on legitimate threats versus administrative processing.

The transformation enabled centralized control of IT processes and automated reporting against compliance. This left the operations more responsive and audit-ready.

7. Accenture:

Accenture

Industry: Professional Services / Consulting

Challenge: With more than 700,000 employees in over 120 countries, Accenture was confronted with a substantial challenge concerning the delivery of IT services. Dealing with internal IT requests was inconsistent, based on geography, and determined by the person that was tasked with resolving the request since there was no standardization among different geographical areas to govern how each region managed IT service requests; therefore, service quality varied from region to region.

Solution: In response, Accenture implemented ServiceNow’s ITSM Platform as their global standard to manage the delivery of IT services to their internal customers with all major business units and geographical locations interacting through ServiceNow. 

By leveraging ServiceNow’s self-service portal, Accenture was able to deflect routine requests from being formally submitted as tickets and also implement automated workflows for many common processes associated with IT service requests such as onboarding, software provisioning, and hardware requests.

Business Impact: Accenture has significantly reduced the time it takes to resolve tickets and has made considerable improvements in first contact resolution rates. The self-service portal has also greatly reduced the number of tickets being submitted to an IT service agent for resolution and enabled them to devote their time to resolving higher levels of complexity. The consistency of service delivery has improved dramatically across the entire global reach of their company.

8. Unilever:

Unilever

Industry: Consumer Goods / FMCG

Challenge: Unilever operates as a multichannel business across 190 countries, supplying products around the world through a very complex end-to-end supply chain and IT and operations functions  that also support multiple businesses at once including manufacturing, logistics, marketing, and retail in a variety of environments simultaneously.

Solution: To solve the above, Unilever used ServiceNow to streamline IT Service delivery globally with an emphasis on automating routine workflows and improving employee experience for Unilever’s large global population. ServiceNow also provided Unilever with reporting and analytics capabilities, enabling Unilever to gain better visibility into service performance across business units, regions, and countries.

Business Impact: There has been a measurable reduction in the amount of time it takes to resolve an IT service request at Unilever, with significant increases in self-service adoption rates for employees. As a result, the number of routine service requests that were resolved without human intervention has increased, freeing up IT resources to work on higher-value activities.

The company turned to ServiceNow for the improvement of HR services provision and in giving employees a single self-service portal.

Through faster case resolution and faster resolution time, Unilever significantly enhanced staff satisfaction. ServiceNow enabled HR staff to be free to focus on strategic work while being able to deliver employee support consistently.

9. AT&T :

at&t

Industry: Telecommunications / Technology

Challenge: AT&T has an extensive telecommunications network throughout the United States and is also an enterprise technology leader. Due to the scale of their operations and the fact that their network services are available 24 hours per day, 7 days per week, any inefficiencies related to IT operations management at AT&T have a direct correlation to customer satisfaction and revenue loss.

Solution: To resolve the previous problem, AT&T deploys the capabilities provided by ServiceNow’s ITOM (Information Technology Operations Management) solutions. With the deployment of these services, AT&T is able to monitor the entire network and IT infrastructure in real time. The event management functionality of ServiceNow has allowed AT&T to correlate alerts through all of its facilities, allowing IT staff to receive less redundant alerts so that they can concentrate and provide a response to high-priority issues rather than low-priority alerts.

Business Impact: As a result of deploying ServiceNow’s ITOM solutions, AT&T has seen an overall reduction in alert noise levels, with automation of correlation and filtering having eliminated the majority of alerts that previously required staff time to review. This allowed AT&T’s IT staff to respond to legitimate incidents in a timelier manner and reduced the level of fatigue that has been experienced by IT staff due to high volumes of alerts.

10. Walmart:

walmart

Industry: Retail / E-Commerce

Challenge: Walmart is the biggest retailer in the world by revenue. The company has more than 10,500 locations across 19 countries, along with a rapidly growing e-commerce business. Managing such a large and broad technology operation requires an IT service management solution that can support huge volumes of transactions and keep track of these transactions at all times, regardless of whether they are happening in retail stores, distribution centers, corporate offices or on digital platforms.

Solution: To improve IT service delivery and provide consistency of service for store-based technology staff, Walmart implemented ServiceNow to deploy a global IT service management solution. IT disruptions are particularly damaging to retail operations; therefore establishing fast and structured incident response processes was crucial, given the significant cost incurred by losing the functionality of a point of sale system during high customer traffic.

Business  Impact: As a result of implementing ServiceNow to automate and connect all staff engaged in providing technology services to Walmart’s global operations, Walmart now resolves store technology incidents more quickly than ever before, thereby minimizing the operational impact that IT disruptions have on revenues. With standardised processes put in place for routing incidents to the appropriate teams with the right information, there are no longer unnecessary delays identifying a cause for an outage. 

ServiceNow was introduced to automate ticketing and support operations. The change led to better issue resolution times, better tracking, and scalable IT operations to accommodate future growth. ServiceNow enabled NVIDIA to preserve internal efficiency while continuing along its path as a leading innovator in the industry.

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Key Takeaways Across These Companies

There are several common themes that emerge across each of these ten case studies that assist in helping organizations understand why ServiceNow is so prevalent and what differentiates organizations that are able to get maximum value from ServiceNow vs. those that cannot. 

  • First, organizations that were successful in deploying ServiceNow had high volumes of repetitive processes. For example, an organization that can save five minutes per incident ticket in ServiceNow may help save an organization $1 million in productivity gains annually when they process 1000 incident tickets daily. 
  • Secondly, organizations that have a centralized approach to service delivery reduce the friction that exists at many of the handoff points between department/process/system and teams. In most cases, the problems organizations encountered when deploying ServiceNow were not because each individual process was broken, but because of the transitions between business processes, IT systems and teams. 
  • Using ServiceNow, organizations are able to work across departments and create unified, seamless workflows that address and eliminate the delays and loss of information that occur at the various handoff points between different teams, departments, and organizations.
  • The adoption of self-service solutions is the powerful force multiplier. In many cases, the real efficiency gains were not due to faster agent resolutions but users being able to resolve their own issues by using properly designed self-service portals. This is as much about design and change management as it is about technology.
  • Before true improvements can be made, there must be access to sufficient data or information that gives you the ability to see yourself in order to know what you need to work on. Companies such as Vodafone and AT&T had been transformed by gaining operational visibility to spot trends they had not been able to identify or execute upon in the past.

Why Marketers Target Companies Using ServiceNow

Organizations using ServiceNow demonstrate many of the characteristics that make them attractive as an audience segment for those who sell consulting services or professional services to enterprise customers. 

Examples include having adequate budgets for investing in enterprise software, executive buy-in to digital transformation initiatives, and a technical team that can manage a complex platform and continually find ways to augment the value associated with their current technology investments. 

If your business is selling products or services related to IT solutions, consultation, implementation, cybersecurity, or automation, connecting with companies using ServiceNow creates new business opportunities for you. A verified ServiceNow Customers List can help marketing and sales teams to reach organizations using ServiceNow and its decision-makers based on industry, location, company size, revenue size, and job titles.  

Conclusion:

The fact that ServiceNow is present in ten of the world’s top companies is no accident; it is part of a cohesive company-wide strategy to streamline multiple disparate businesses, automate large-scale processes, and create the operational visibility required to manage scaled complexity.

The companies profiled in this article, starting from Walmart’s retail-tech ops to HSBC’s compliance-rich banking infrastructure, represent the broadest possible breadth of instances where ServiceNow is creating value. There is no one industry or problem that connects all these companies; rather, the connection amongst all of these companies is a strategic imperative. To do more with the same resources, more quickly, in a more consistent and auditable manner.

For many businesses interested in understanding where enterprise-level technology expenditures are being concentrated, whether as part of a sales strategy, competitive intelligence efforts, or technology platform evaluation, the ServiceNow customer base is one of the most well-defined populations of digitally seasoned, high-investment organizations in the world.

In addition, the advancements achieved through transformation via ServiceNow provide a valuable benchmark. They demonstrate what is achievable when implementing strategic workflow automation with executive-level commitment and a clear vision of operational outcomes desired by the organization.

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FAQs About Companies Using ServiceNow

The main purpose of ServiceNow is to assist  organizations in attaining improved workflow automation and service delivery. The following describe the major applications offered by  ServiceNow: IT Service Management; IT Operations Management; HR Service Delivery; Customer Service Management; and Security Operations.

Industries that use ServiceNow include financial services, telecommunications, professional services, healthcare, manufacturing, retail, and government sectors.

Most of the companies using ServiceNow are Fotune 500, and 1000 companies, enterprises, and mid sized companies.

These are some of the top Vodafone, Deloitte, KPMG, Siemens, DXC Technology, HSBC, Accenture, Unilever, AI&T, Walmart.

 

Enterprises prefer ServiceNow for its scalability, pre-built workflows, integration ecosystem, and its ability to serve multiple departments from a single platform. 

For companies looking to target ServiceNow users generally use intent data, technographic information and valid contact lists to find decision makers at organizations who are using the platform.

Generally, ServiceNow targets large companies and will be considered too costly for small/midsized companies. When evaluating IT service management (ITSM) products used in mid-market businesses (less than 500 employees) , find alternatives for serviceNow. 

The operational requirement and digital transformation strategies may differ from company to company.Each product is responsible for different actions. 

Here is the list of ServiceNow products:

  1.  IT operations Management(ITOM)
  2. HR Service Delivery
  3. Security Operations
  4. Enterprise Asset Management 
  5. Customer Service Management(CSM)
  6. Strategic Portfolio Management.

By the study of ServiceNow users startups can learn about automating workflow, modernizing IT operations, delivering effective employee services, improving operational visibility, and cross development opportunities. these companies also illustrates how a successful technology adoption can lead to stronger digital transformation of an organization in 2026..