The classic analytics failure mode is five dashboards reporting five different numbers for the same metric, because each one re-implemented the logic. SemanticFed is built to end that.
You define entities, dimensions, and metrics once in a typed semantic layer that sits above all your federated sources. “Active revenue,” “net retention,” and “monthly active accounts” become governed objects with documented definitions, not copy-pasted SQL fragments.
Every consumer — a BI tool, a notebook, an embedded chart, an AI agent — resolves the same definition through the same engine, so the numbers agree by construction. Change a definition once and every surface updates.
Illustrative pre-launch scenario describing the semantic-layer experience being built.
Do it yourself
Model entities, dimensions, and a governed metric once in the semantic layer, publish it, and have every consumer resolve the same definition.
Open the Ontology and create a new semantic model for your business domain.
You should see: A draft model is created, ready for entities and metrics.
Ready to make this your story?
