Why this keeps happening without one
Every BI tool, every analyst, and every ad-hoc query reimplements the same business logic — what counts as active, what counts as revenue, what date range applies — independently. Small, reasonable differences in that reimplementation produce dashboards that technically disagree while both appearing correct in isolation.
This isn't a data quality problem in the traditional sense; it's a definition governance problem that happens to show up as a data quality symptom.
What a metrics layer actually changes
Defining each core business metric once, centrally, and having every consuming tool reference that single definition rather than reimplementing the logic, eliminates the disagreement structurally rather than reconciling it manually after the fact in a meeting.
Two correct-looking dashboards that disagree aren't a data quality bug. They're a missing governance layer, finally visible.MNB Data Practice
Key actions
- Define each core business metric once, centrally
- Require consuming tools to reference the central definition, not reimplement it
- Treat disagreeing dashboards as a governance signal, not a dashboard bug
- Audit for silent metric redefinition across teams periodically