For bi & data analysts
Inspect the full chain: definition to deployment.
Observed schemas, business mappings, transformation SQL and native semantic output are kept distinct and inspectable — with reconciliation between source and output.
What you get
The engineering picture
Observed schema
Physical structure captured as schema.yaml, separate from business meaning.
Transformation to gold
Facts and dimensions built through a reviewed bronze → silver → gold workflow.
Validated output
Source-to-gold reconciliation checks that the deployed measure matches its inputs.
Industry
See it worked through.
- Food production & quality“Which inspection results actually count as passed?”The pass-rate definition, its mapping to the inspection tables and the native semantic asset it deploys as on your platform.For quality and operations teams · Quality · Operations · FinanceSee the Food production & quality story
- Air cargo“How much of what we booked actually flew?”The booked-to-flown cohort definition, its mapping to booking and shipment sources and the native semantic asset it deploys as on your platform.For cargo operations and commercial teams · Cargo operations · Commercial planning · FinanceSee the Air cargo story
Free pilot
Start a free pilot
We work through one business question with you: agree its meaning, map it to the relevant data and review how it works on Snowflake or Databricks. We agree the scope together before we start.
- 01One business question
- 02One owner of the definition
- 03The data it depends on
- 04A review on your platform
- Start a free pilotWatch demo