semantic-metrics-layer

name	semantic-metrics-layer
description	Build a governed semantic/metrics layer: define each metric once as metrics-as-code (dbt Semantic Layer/MetricFlow) with explicit grain and filters, model entities/dimensions to prevent fan-out, and expose one contract every BI tool consumes — ending metric drift.

Semantic / Metrics Layer

One definition per metric

Revenue, active user, churn, MRR — defined once as metrics-as-code, versioned, PR-reviewed. Two dashboards with two 'revenue's = trust gone.

Explicit grain + filters

A metric needs its grain (per what?) and filters (which segment?) stated. Otherwise it's uninterpretable.

Entities & dimensions

Model joins/grains in the layer so consumers can't fan-out or double-count.

One contract

All BI tools query the same metrics — the semantic layer is the contract, not each tool's hidden calc. Significance -> applied-statistics.