Every organization I've worked with has said some version of "we want a single source of truth." Almost none of them get it from a tool. They get it from an ownership model — the tool just displays what the model already agreed on.

Why "one dashboard" doesn't solve this

Finance, marketing, and operations will each define "active customer," "revenue," or "conversion" slightly differently — not out of carelessness, but because each definition is genuinely correct for that department's purpose. The failure mode isn't disagreement; it's disagreement nobody wrote down, so three dashboards quietly diverge and nobody notices until a leadership meeting turns into a debate about whose numbers are right.

The framework that actually holds

1. A written metric dictionary, not a dashboard

Before touching Power BI, write down every KPI in plain language: the exact calculation, the grain, the source table, and — critically — who owns changes to the definition. This document outlives any specific dashboard.

2. One owner per metric

Every KPI needs exactly one accountable owner. Not a committee. When a definition needs to change, it goes through that owner, and the change is dated and logged. This is the single highest-leverage habit in the whole framework.

3. A shared semantic layer

Implement the agreed definitions once, centrally — a Power BI semantic model, dbt metrics layer, or equivalent — and have every downstream report pull from it rather than re-deriving the calculation locally. If marketing needs a variant metric, it gets a new, clearly named measure; it never silently overloads an existing one.

The dashboard is the last five percent of the work. The metric dictionary and ownership model are the other ninety-five.

4. A visible change log

When "Active Customer" changes from a 30-day to a 60-day window, that change should be dated, explained, and visible — not buried in a commit message nobody outside the data team reads. Trust erodes fastest when numbers move and nobody can say why.

What this looks like in year one vs. year three

In year one, this feels like overhead — a dictionary and an ownership matrix when everyone just wants a dashboard. By year three, it's the reason three departments still argue about strategy instead of arguing about whose spreadsheet is correct. The framework's job is to make the numbers boring, in the best sense: nobody has to think about whether they're right.

Starting point for a small team