back_office_ops · saas · workflow
dbt Semantic Layer use cases: consistent metrics for business results
Data teams deliver inconsistent metrics to different stakeholders, causing confusion when different people see different numbers from the same underlying data.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Centralize metric definitions
Teams centralize metric logic alongside data models in dbt to create a single source of truth.
Tools used
dbt Semantic Layer
Outcome
By centralizing metric logic in the dbt Semantic Layer, teams deliver governed, consistent metrics to any BI tool, API, or large language model, enabling self-serve analytics and trusted data across the organization.
Results
Volume80,000+
Grounding & classification
Source type: generic use case
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