Organizations often invest heavily in data governance programs, yet consumers still encounter conflicting KPIs, duplicate reports, and competing versions of the truth. Frequently the root problem is not a lack of governance policies—it's a lack of governance embedded where analytics actually happens.

In this session, we'll explore how the Power BI and Microsoft Fabric semantic layer has become one of the most important governance assets in modern data platforms. Attendees will learn how semantic models help standardize business definitions, establish trusted KPIs, enforce consistent calculations, and provide controlled access to enterprise data at scale.

Through practical examples and demonstrations, we'll examine common governance challenges such as metric proliferation, semantic drift, and dashboard sprawl, and show how certified datasets, reusable measures, calculation groups, lineage tracking, and endorsed data assets can help address them. We'll also connect these technical capabilities to core DAMA governance principles, illustrating how business ownership and technical implementation must work together to create trusted analytics.

You'll leave knowing how to:
- Understand how semantic models operationalize governance
- Create trusted, reusable KPIs across teams
- Reduce report and metric duplication
- Align business definitions with technical implementation