Data governance promises clarity, trust and better decisions – yet many teams struggle to turn that promise into reality. Too often they start with the wrong battles, involve the wrong people or tackle everything except the problems the business actually has.
This session is the talk I wish someone had given me before we started. I’ll share what actually moved the needle: why starting from concrete use cases works better than “let’s cleanse everything”, how reducing your dataset can be a power move, and why investing time and effort in data modelling truly pays off. I’ll also point out the patterns that held us back: endless architecture discussions, lack of IT support, blurry domain boundaries and governance that stopped at the analytics layer while users struggled in operational tools.
You’ll leave with clear guidance on where to focus, what to avoid, and how to get people outside the data team involved, so governance becomes something your organization actively uses and benefits from, not just something you describe on paper.