Power BI Governance in the Age of Self-Service and AI
At FabCon, one thing kept coming up in conversations with BI and Data & Analytics Managers: the level of control they expected from DevOps and governance just isn’t there.
Power BI environments don’t usually break all at once. They degrade gradually, and most teams don’t notice until the damage is already done.
Self-service analytics, small differences in DAX, and AI-generated models all introduce variation across reports and semantic models. Over time, that builds up. It gets harder to trace what changed, and eventually, numbers stop lining up the way people expect.
As self-service and AI adoption grow, keeping things consistent only gets harder. Many teams rely on Azure DevOps and Git. They help in some areas, but they don’t reflect the full environment. Gaps in metadata and limited visibility across workspaces make it tough to see what’s actually changing.
This session looks at those patterns more closely:
- where consistency starts to break across reports and models, and how that impacts trust
- why Azure DevOps leaves gaps in visibility and control
- how self-service growth and Power BI development introduce risk
- what a practical path forward looks like without adding more process
If you’re responsible for Power BI performance, cost, or reliability, this is meant to help you step back and understand what’s really happening in your environment before things get harder to untangle.
10 AM – 11 AM CDT / 16:00 – 17:00 UK / 17:00 – 18:00 Berlin/Paris
