You probably know that awkward moment: the CEO asks a simple question — “Where do we stand on margin by segment?” — and… two different answers come back.
Same month. Same scope. Two different figures.
From that point on, the discussion shifts:
- strategy is no longer debated,
- data reliability becomes the topic.
This doubt comes at a high cost: lost energy, damaged credibility and slower execution.
The real issue is not the tool
The most frustrating part? This is rarely a tooling problem.
It is a governance issue:
- Who defines the KPI?
- Which data source is the reference?
- Which calculation rule is validated — and by whom?
And when the Board challenges a figure, one question inevitably arises:
Where is the traceability?
No single version of the number, no real steering
As long as you do not have a single, shared version of the number, you are not steering the organisation — you are negotiating reality.
Decisions slow down, discussions drift and confidence erodes.
Data trust is an executive responsibility
The good news is that data trust is not a new IT project.
It is a leadership initiative.
By clarifying ownership, definitions and validation rules, organisations:
- secure executive and Board-level decisions,
- protect their credibility and reputation,
- accelerate strategic steering.
Data trust creates alignment.
And alignment is what turns numbers into decisions.