Analytics

Why Your SaaS Needs a Semantic Layer

Consistency is key. How a semantic layer ensures that 'Revenue' means the same thing in every tool.

By TrackRaptor DevData Architect
READ: 14 min read
Why Your SaaS Needs a Semantic Layer

A semantic layer allows you to define metrics once (in code) and use them in BI tools, CRMs, and your production apps. It prevents the 'Data Discrepancy' nightmare where Marketing says revenue is $1M and Finance says it's $900k.

Key Tools

  • dbt Semantic Layer: Define metrics where you transform your data
  • Cube.js: A headless BI platform for providing data to your frontend
  • LookML: For those heavily invested in the Google Cloud ecosystem