AI analytics is only as good as the context you give it. Without a semantic layer - a unified, shared definition of metrics, segments, and business logic - AI (and everyone else) is guessing at what "active user" or "revenue" means at your company.
Data Studio is the analyst workbench where that foundation gets built. Define metrics once. Transform raw tables using SQL or Python. See dependencies before changing anything. Publish what's trusted to your Library. Then get reliable answers from AI
You've got data your customers want. Building analytics yourself is cool if you've got months and a few devs you want to punish. Embedding Metabase is faster and simpler. From simple charts to reporting tools anyone can use, customized to match your UI.
Hey hey PH community We kicked off a little Made with Metabase contest on Reddit and would love to see what you ve been building.
If you've shipped something with Metabase (dashboards, internal tools, data stack, or scrappy MVPs), this is a nice excuse to turn that work into a limited-edition Metabase mechanical keyboard Join in here: https://metaba.se/made-with-meta...
Metabase is the easy, open source way for anyone in your company to ask questions or learn from data. Now you can easily set up Metabase for your company without being an engineer with Metabase Cloud.
