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Single Version of Truth: What It Actually Means for Decision Makers
December 21, 2025

 Single Version of Truth: What It Actually Means for Decision Makers. 

If you’re a CFOCHRO, CIO, or executive reading this, ask yourself: When was the last time two departments came to you with different numbers for the same thing? 

If it happened recently, you don’t have SVoT [single version of truth]. And it’s costing you time, money, and good strategic decisions. This is the problem that keeps decision makers like you up at night. And it’s exactly what Single Version of Truth solves. Here’s what we’ll cover in this article: 

  1. What is Single Version of Truth? 
  1. Difference between SVoT vs Single Source of Truth? 
  1. Why SVoT matters for Finance, HR, Operations, and Supply Chain. 
  1. Benefits of a Single Version of Truth. 
  1. What Decision Makers should do? 

 

What Single Version of Truth Actually Means? 

A Single Version of Truth means everyone in your organization sees the same number and trusts it. 

Imagine an inventory system where one report shows a product is in stock, while another shows it is sold out. A single version of truth would mean both the inventory and sales teams see the same, accurate stock level, preventing confusion and ensuring a better customer experience 

It’s not about where the data lives or how it’s stored. It’s about what lands on your desk when you need to make a decision. 

When your FP&A team presents quarterly projections, your operations team sees those same numbers. When HR tracks headcount costs, finance sees identical figures. 

No debates. No spreadsheet auditing like final, “final final,” “final final FINAL report”) to determine which data is the most current and accurate. You know what we mean here! 

No “my data says this, but your data says that.” 

 

Single Version of Truth vs Single Source of Truth: What’s the Difference? 

Here’s where people get confused. 

Single Source of Truth (SSoT) is about data flow. It means each piece of information gets created once, in one system, following one process. It’s the technical foundation, the infrastructure work that IT teams and data architects care about. 

  • SSoT asks: Where does this data come from? 
  • SSoT is about data input optimisation (integration, input/output synchronisation). 
  • SSoT appeals to data model architects and IT solution integrators. 

Single Version of Truth (SVoT) is about what decision makers actually see. It’s the answer to their strategic questions. It’s the report, the dashboard, the number you present to the board. 

  • SVoT asks: What number are we all using to make decisions? 
  • SVoT is really about business analytics and reporting optimisation (consolidation, alignment). 
  • SVoT speaks to data scientists and business intelligence architects. 

You can have a perfect SSoT setup with data stored exactly once in the right places. But if finance, operations, and HR are still pulling different reports and seeing different numbers, you don’t have SVoT. 

says, Hatem Elkady, CEO Diamond Group & ZAKAA. 

The confusion happens because these terms sound similar. But SSoT is the foundation you build. SVoT is the house you live in. 

 

Why Single Version of Truth Matters for Finance, HR, Operations, and Supply Chain? 

When you don’t have a single version of truth, decisions slow down. Meetings turn into arguments about whose numbers are correct. Teams waste hours reconciling data instead of analyzing it. 

→ For CFOs and FP&A teams: Budget planning becomes guesswork when different systems show different revenue figures. Cash flow projections fall apart when AR and inventory data don’t match. You spend more time hunting for accurate numbers than using them. 

→ For CHROs: Headcount planning goes sideways when HR systems, payroll, and finance can’t agree on employee costs. Turnover analysis means nothing if different departments count departures differently. Strategic workforce decisions need accurate data, not best guesses. 

→ For CIOs: You’re stuck being the referee. Every department comes to you saying their system is right. You’re managing multiple platforms that don’t talk to each other. And when something goes wrong, nobody knows which data to trust. 

→ For supply chain and operations: Stockouts happen because one system says you have inventory while another says you don’t. Production planning fails when demand forecasts vary by department. Customer promises get broken because nobody has the real numbers. 

 

The Real Benefits of a Single Version of Truth. 

 Faster decisions. When everyone trusts the same numbers, you skip the debate and get to the decision. No more “let me check with my team” or “I need to validate these numbers first.” 

 Better decisions. You’re working with accurate, verified data. Not someone’s best guess. Not last month’s export. The actual current state of your business. 

 Less wasted time. Your teams stop playing detective with spreadsheets. They stop trying to figure out why their numbers don’t match someone else’s numbers. They focus on what the numbers mean, not whether they’re correct. 

 Clearer accountability. When everyone sees the same data, excuses disappear. If the number is the number, you can’t blame bad data. You own your decisions. 

 Actual collaboration. Finance, HR, operations, and supply chain can work together when they’re looking at the same information. Cross-functional planning stops being a negotiation about whose data is better. 

 

The Real Challenge with a Single Version of Truth. 

The hard part isn’t technical. Most companies have decent systems. The hard part is that people resist giving up their own SVoT. 

Everyone has strong opinions about which data matters, how it should be measured, and whose system is “right.” Finance wants it counted one way. Operations wants it counted another way. Supply chain has its own view. HR is using completely different definitions. 

Getting to SVoT means getting these groups to agree. And that agreement needs to stick, even when the data shows something uncomfortable. 

This is why SVoT projects fail. Not because of technology. Because people don’t want to give up their version of the truth. 

The path forward: Start with one critical metric everyone cares about. Get agreement on how it’s measured, where it comes from, and who owns it. Make it visible everywhere. Then move to the next metric. 

Build credibility before you build scale. 

 

SVoT Conversation is a Hot Topic Everywhere. 

SVoT Conversation is a Hot Topic Everywhere

On October 26, 2025, evening in Riyadh, we hosted an event for the Middle East’s top government and enterprise leaders that gathered at the DoubleTree Hotel. Along with great minds, CIOs, CFOs, CHROs, planning directors, budget heads, and Chief Data & Analytics Officers—the people who actually make the big decisions and lead the Vision 2030 transformation initiatives. 

Around 8:45 PM, during a discussion about ZAKAA’s – (a product of Diamond Group – 𝘛𝘩𝘦 𝘍𝘪𝘳𝘴𝘵 𝘈𝘳𝘢𝘣𝘪𝘤𝘥𝘳𝘪𝘷𝘦𝘯 𝘈𝘐 𝘋𝘦𝘤𝘪𝘴𝘪𝘰𝘯 𝘚𝘶𝘱𝘱𝘰𝘳𝘵 𝘚𝘺𝘴𝘵𝘦𝘮 𝘪𝘯 𝘵𝘩𝘦 𝘔𝘪𝘥𝘥𝘭𝘦 𝘌𝘢𝘴𝘵) data warehouse foundation, a member raised the concern that was the center of attention for the whole evening: 

“What we need is a single version of truth. One platform where everyone looks at the same data, updated in real-time, governed properly. When leaders can’t trust that they’re all looking at the same information, decision-making becomes political instead of analytical.” 

The room went quiet! 

Another executive added: “If we solve this one problem—just this one—half our decision-making delays disappear.” 

This isn’t about fancy AI features or impressive dashboards. It’s about basic trust in the information you’re using to make decisions that affect citizens’ lives. 

ZAKAA’s Bianat module (AI Data Lakes & Governance) addresses exactly this. It creates that single version of truth by: 

→ Integrating data from multiple systems automatically. 

→ Ensuring real-time synchronization across departments. 

→ Building governance into the foundation, not adding it later. 

→ Making sure everyone—from analysts to ministers—sees the same numbers. 

“This alone would bring hours of every week in minutes to be done,” a member mentioned after seeing the ZAKAA’s Bianat Module. 

 

The Oracle EPM Cloud Connection. 

This is where modern cloud-based Oracle EPM systems come in. Not because they magically solve the challenge, but because they make SVoT possible. 

Legacy systems mean each department has its own database, its own reports, its own version of reality. Even with good intentions, you can’t get everyone looking at the same numbers when the numbers live in different places. 

EPM platforms create the foundation for SVoT. Real-time data. One system. Consistent definitions. When finance closes the books, operations sees it immediately. When the supply chain updates inventory, FP&A sees it in their forecast. 

SVoT isn’t about perfection. It’s about agreement. It’s about trust. It’s about everyone pointing to the same number when it’s time to decide. 

Because when decisions need to happen fast, you can’t afford to waste time arguing about the data. 

 

Let’s Solve Your Data Challenges Together. 

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