Self-service analytics promises faster insights, increased business agility, and broader access to data. Yet many struggle with the unintended consequences of success: duplicate reports, conflicting metrics, unmanaged workspaces, and growing concerns about trust and governance. Microsoft Fabric offers powerful capabilities that enable organizations to scale analytics while maintaining control, but technology alone is not enough. The challenge is finding the right balance between empowerment and governance.

In this session, we'll explore practical approaches for implementing governed self-service analytics using Microsoft Fabric and Power BI. Attendees will learn how to establish scalable governance guardrails through semantic models, certified datasets, workspace management, deployment pipelines, lineage tracking, security controls, and ownership frameworks. We'll also examine how we end up with report sprawl and metric inconsistency, along with proven strategies for enabling business users to create and share insights without sacrificing reliability.

This session will show how organizations can evolve from a centralized reporting model to a governed self-service ecosystem that supports innovation while preserving trust in enterprise data.

Attendees will leave knowing how to:
- Design a governed self-service analytics strategy
- Reduce report sprawl and metric duplication
- Leverage Fabric governance capabilities effectively
- Create trusted, reusable analytics assets
- Balance user empowerment with governance controls