For business analysts
Your definitions, mapped to real tables.
Each business term is mapped to physical columns by engineering, and the mapping stays visible to you — so you can confirm the implementation matches the intent.
What you get
The engineering picture
Readable mappings
Business term → logical name → physical column, in a form you can review without reading SQL.
Schema changes surface
When a source column is renamed or removed, the affected definitions are flagged for review.
Native output you can inspect
The metric view or semantic view deployed to the platform is shown next to the definition it implements.
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