- Governance Explained
- The Governance Flywheel
- Why Data Governance Can Be Hard
- Making Governance Easier
- How Power BI Can Help
- Why the Power BI Approach is Unique
- About Microsoft
- About Andrew Brust
In an age of analytics and digital transformation, curating, protecting, and managing our data is critical. But still, many of us may see data governance as a necessary burden, best delegated to specialists, who we suspect may become adversaries to our productivity.
But analysis and governance can work hand-in-hand, rather than at cross-purposes. While such harmony may sound elusive, achieving it is a question of changing approach. Data governance can be embedded into the self-service BI workflow, causing it to amplify our analytics work rather than impeding it; to be in concert with our efforts rather than distracting us from them. While the industry’s track record in achieving such governance equilibrium has not been great, Microsoft’s Power BI has recently added low-touch governance features that put us well along the road to that goal.