Centralize metrics in dbt so every BI tool reads the same definitions

The Semantic Layer removes duplicate metric coding by defining metrics on top of existing models and handling joins automatically. Powered by MetricFlow, it puts critical metrics like revenue in the dbt modeling layer. Centralized definitions give consistent self-service access in downstream tools. When a metric changes in dbt, it refreshes wherever it is invoked. The page points to FAQs, a universal semantic layer blog, and setup/deploy/integration resources. Use requires a dbt Starter or Enterprise-tier account (multi-tenant or single-tenant; single-tenant needs account-team enablement). Access-control mechanisms are part of the design.

Data teams fighting conflicting revenue numbers across BI tools get one modeling-layer source of truth instead of per-dashboard copies. Product and AI consumers inherit the same metric logic.

That is governed shared meaning for quantitative concepts: metrics as first-class definitions readable across applications, not private BI calculations.