Optimizing Semantic Models for Copilot: Best Practices and Why They Matter

Interesting blog, what really stood out is how much a solid semantic model boosts Copilot’s smarts. Simple things like naming fact tables with actions, keeping clean relationships between facts and dimensions, and setting the right geo categories make Copilot “get” your data faster and better. And keeping an eye on query folding (for Import) and DirectQuery performance pays off when Copilot hits the model directly and you need quick responses.

The practical stuff matters too, using Measure Killer to clean house, hiding key columns, and double-checking default aggregations and data types all make the model simpler and more accurate. Bottom line: AI doesn’t replace human judgment. Without a well-designed semantic model behind it, Copilot’s answers won’t be as accurate or useful.

Thanks for sharing jenbeiser