The people who know the business decide what AI should understand.
Duodata turns the definitions your teams already use into meaning AI can apply — owned by the business, reviewed before it is used, and executed in your platform.
Detail by role
Mappings, tools, lineage and validation.
- Mappings: each business term is bound to the columns your models use.
- Tools: the same measure serves BI tools and AI assistants on your platform.
- Lineage: follow a measure from definition to the Gold table snapshot to the native semantic view.
- Validation: reconcile results from source to output when definitions or schemas change.
| Business term | Mapped column |
|---|---|
| Gross revenue | demo.gold.revenue_by_quarter.gross_revenue |
| Discounts | demo.gold.revenue_by_quarter.discounts |
| Credits | demo.gold.revenue_by_quarter.credits |
| Quarter | demo.gold.revenue_by_quarter.quarter |
From your definition to your platform
From business meaning to platform execution
Defined by the business
Net revenue
= gross revenue − discounts − credits
- Owner
- Finance
- Used for
- Quarterly reporting
Duodata model
Your business meaning, ready for AI
One agreed definition with an owner, a time grain and the words people use to ask for it.
Choose your platform
Your platform executes the calculation. Pick one; you don't need both.
Answer in AI/BI Genie
Net revenue grew 5.4% from Q2 to Q3.
Definition used: net revenue = gross revenue − discounts − credits (owner: Finance), served through Unity Catalog metric views.
Fictional example
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