In many organizations, different teams build dashboards using the same data sources but often end up with slightly different definitions for key metrics such as revenue, active users, or conversion rates.

Over time this creates confusion, especially when leadership sees different numbers across reports.

What practices or frameworks do you use to maintain metric consistency and a single source of truth across BI dashboards?

Do approaches like semantic layers, metric stores, or centralized data models significantly reduce these issues in practice?