Six years of consulting taught me a lot, but nothing prepared me for what I'd face as an in-house Power BI Administrator. Suddenly, I wasn't just advising on data governance—I was living it. And honestly? The traditional approach wasn't working, especially when you're trying to transform a massive, established enterprise that's been doing things the same way for years.
This session is about my real-world experience flipping our data governance model on its head. Instead of everything flowing through a central bottleneck, we moved to a system where teams actually have control over their data while still playing by the rules.
Here's what I learned the hard way: transforming an established big-scale enterprise isn't just about new technology—it's about changing how people think about data ownership and responsibility.
I'll walk you through the practical stuff that actually worked (and the things that definitely didn't). You'll see how we broke down those rigid approval processes, gave teams the freedom they needed, and somehow managed to keep everything from falling apart.
Perfect for anyone who's tired of waiting weeks for simple data requests or wondering if there's a better way to handle governance in large organizations. By the end, you'll have real strategies you can take back and start using right away to make your data processes actually work for people instead of against them.

This session will focus specifically on data governance challenges in Power BI environments, providing real-life examples and lessons learned.
Participants will receive actionable tips for balancing governance and autonomy without sacrificing data quality or security.
While decentralization offers many benefits, it’s important to establish clear guidelines and roles within the organization to prevent data chaos.