The semantic layer is your API for analytics
Why the metrics layer is the most underrated piece of your data platform — and how to design one that scales.
If your BI tool is a website, your semantic layer is the API that powers it. And, like any good API, it deserves to be designed, versioned, and documented — not accreted.
The teams that treat their semantic layer as a product ship faster, argue less, and onboard new analysts in days instead of weeks. The teams that don't end up with three definitions of 'active customer' and a permanent slack thread arguing about which is right.
Design principles we hold to: metrics are singular and canonical; dimensions are shared; time grains are explicit; ownership is named. If you can't answer 'who owns this metric' in one sentence, you don't have a metric — you have a formula.
The tooling matters less than the discipline. dbt's semantic layer, Cube, LookML, or MetricFlow will all work if you treat them as first-class product surfaces. None of them will save you if you don't.
Aisha specializes in semantic layers, dbt architecture, and getting analytics organizations to actually ship.
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