Data governance aims to ensure that data is accurate, secure and used responsibly.

A semantic layer enforces governance by centralizing metric definitions and permission rules.

When business teams rely on the same layer, they can’t inadvertently change calculations, reducing discrepancies.

The layer also acts as a gatekeeper: administrators can set row‑level and column‑level security, mask sensitive fields and track lineage.

This is critical in regulated industries and multi‑tenant SaaS.

MageMetrics stores the semantic model as code, enabling version control and reviews, and integrates with your existing governance framework.