Enterprise Data Model - A guide to data mapping

Why don't your figures always mean the same thing to different teams?

Let's look at two real-life examples:

🔹 The case of a medium-sized business
The teams (Marketing, Sales, Finance, etc.) spend a considerable amount of time trying to find the right definition for an indicator and validating the sources.
They spend more time agreeing than doing their job.
A ‘net result’?
➡️ It differs between sales, management control, supply...
⏳ The result: time wasted, endless meetings to get everyone on the same page, and eroding trust.

🔹 Case study of an international group
Several regions, systems that have become disparate over time, divergent definitions of KPIs.
👉 Managers no longer have access to reliable KPIs for steering purposes.
👉 Local CFOs cannot guarantee the completeness of invoicing or margin monitoring.
👉 Consolidation at global level is a nightmare: everyone interprets the figures in their own way.
📉 Result: blind strategic decisions, maximum operational pressure, audits on alert.

And the problem? It's not just the data.
It's the lack of common definitions, clear mapping and structured governance.

All too often :
Indicators are not standardised
Sources are fragmented
No one knows how to say "here's the official definition"

🎯 The solution: enterprise data mapping - the Enterprise Data Model (EDM)

An EDM is a strategic foundation for the entire organisation.

An EDM is a strategic foundation for the entire organisation. It enables you to :
✅ Map data and understand how it circulates
✅ Define shared business concepts between departments
✅ Assign clear roles (Data Owners, referents)
✅ Build a common, reliable repository
✅ Speed up Data / AI / Reporting projects and reduce risks

🎓 I've had the opportunity to implement this approach alongside several decision-makers.
Each time, the benefits are tangible:
➡️ Accelerated implementation
➡️ Gain perspective on business & data issues
➡️ Restored trust between stakeholders

Download the ‘Enterprise Data Model by Equancy’ guide just here 

It will enable you to:
- Understand the issues linked to the absence of mapping
- Visualise what this solves in concrete terms
- Know how to lay the foundations for it in your organisation

💬 And you, at what point did you say to yourself:
‘We're not talking about the same figures?’
‘Why these discrepancies in the KPIs?’
‘Where is this definition documented?’