For bi & data analysts
Stop reverse-engineering reports.
The definition behind a measure — and who owns it — is recorded next to the number, so analysis starts from agreed meaning instead of guesswork.
What changes for you
The working picture
Lineage you can read
Follow a measure from the answer back through its calculation, sources and transformations.
Consistent across tools
The same definition serves dashboards, notebooks and AI assistants in the platform.
Answers with context
AI answers cite the definition they used, so you can judge whether it fits the question.
Industry
See it worked through.
- Food production & quality“Which inspection results actually count as passed?”Why one pass-rate question produced two confident answers — and how the quality team's agreed definition became the one AI uses.For quality and operations teams · Quality · Operations · FinanceSee the Food production & quality story
- Air cargo“How much of what we booked actually flew?”How a cargo team agreed what 'booked actually flew' means — cohort, cutoff and weight — so planning and AI work from the same number.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