Self-service BI promises speed and autonomy — but without some guardrails, it often turns into duplicate reports, inconsistent numbers, and "which version is correct?" chaos. This session shares practical, real-world lessons learned from rolling out and governing self-service Power BI environments — the mistakes, the surprises, and what actually worked.

Rather than a theoretical framework, this is a grounded, "here's what we learned" talk aimed at anyone starting or rethinking their self-service governance approach: what guardrails matter most early on, where too much control backfires, how to balance business user autonomy with data trust, and the small process changes that had an outsized impact.

What attendees will learn:

Common self-service governance pitfalls (and how to spot them early)
The difference between "governance that helps" and "governance that gets ignored"
Practical guardrails: workspace structure, certified datasets, naming conventions, ownership
How to build trust in self-service content without killing the self-service spirit
Realistic first steps for organizations still early in their self-service journey

Why this session matters: Most people learn these lessons the slow, painful way. This session shortcuts that by sharing what's already been figured out — mistakes included.