Headless BI explained: why tool-specific models in Tableau or Power BI drift apart, and how one universal semantic layer serves every BI tool and notebook.
How data virtualization and a semantic layer let you query across sources without copying data, plus guidance on when to virtualize and when to materialize.
How a semantic layer turns governance policy into practice: shared metric definitions, access rules enforced at query time, lineage, and certification.
Five ways AI agents give wrong answers without a semantic layer (metric hallucination, join confusion, column misreads, security bypass) and how to fix them.
