Studio · Semantic layer
Define each metric once. Trust every number after.
The semantic layer is the single, governed definition of your business — what each metric means, how it's filtered, what it can be sliced by. Every dashboard, embed and AI answer reads from it, so a figure means the same thing everywhere and is never invented on the spot.
written once, read everywhere — the same number in every dashboard, embed and answer.
The problem it solves
One question. Four different answers.
Without a shared definition, every tool counts your business its own way — and nobody can say which number is the right one.
— four counts, four owners, no agreement —
one definition, one answer:
Anatomy of a definition
A metric, pinned down.
One definition holds everything a number needs to stay honest — its formula, its filters, the grain, the dimensions it's allowed, the words people use for it, and a human who owns it.
AI runs through it
The AI can't make a number up. It has to resolve one.
Ask in plain language, and Studio resolves your question to a defined metric, applies the governed filters, and returns an answer you can trace to its definition.
No number is invented. Every answer is a defined metric plus governed filters — which is exactly why Studio answers with zero hallucinations.
What you get
Four things a definition buys you.
A metric means the same thing in every dashboard, embed and answer. No more reconciling four numbers before a meeting.
The AI resolves questions to defined metrics instead of guessing. Figures are governed, never free-styled.
Allowed dimensions, synonyms and access rules travel with each metric, so answers stay in-context and in-bounds.
Every number links back to its formula, its filters and its owner — defensible in a board meeting, auditable after one.
Govern your numbers — define them once.
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