The definition before the dashboard.
Before you ask for a better answer, agree on what the question means.
Start with the decision.
A dashboard can be technically correct and still fail in the room. Finance reads revenue one way. Sales reads it another. Each team can point to a source. The disagreement is about meaning.
Our starting point is the decision the number needs to support. What is included? What is excluded? At what point in time? Who can settle an exception? Those questions belong in the design.
Give the definition an owner.
A shared definition needs someone who can approve it and a clear way to change it. Otherwise, the next urgent request creates another version.
A semantic layer gives those definitions a place to live and a consistent way to reach dashboards, applications, and AI. It also needs a human operating model: owners, review, and a record of what changed.
Make disagreement useful.
Disagreement is often a signal that two teams are making different decisions. The answer may be two clearly named measures, not one compromise that serves neither.
Start with a small set of consequential measures. Trace them back to their sources. Test them with the people who use them. A useful definition is one that survives the next real conversation.
Can the next person explain the difference without calling the person who built it?
A working prompt for your team or an approved AI tool. It asks for evidence, names the open decisions, and leaves room to disagree.
A KimberLyte perspective.
Data, AI, and the human side of change.