For data engineers
Give your data engineers a clearer brief.
When meaning arrives as an agreed definition with an owner — not a conversation to reconstruct — engineering spends less time clarifying and reworking.
What changes for you
The working picture
Less clarification
The definition, its edge cases and its owner are recorded before implementation starts.
Less rework
Changes are reviewed at the definition level first, so pipelines change for a reason, not on a hunch.
Shared language
Business and engineering look at the same record: meaning on one side, mapping on the other.
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