Deploy agreed business definitions natively in Snowflake.
Duodata connects the definitions your business owns to the physical tables in Snowflake and deploys them as Semantic Views — in your account, your Git and your release process — so Cortex Analyst grounds its answers in reviewed meaning.
The assistant will find a revenue column. Whether it is the right one is the problem.
Cortex Analyst resolves questions against physical schemas. Without an agreed definition mapped to reviewed columns, it picks a plausible one — fluently.
From business meaning to platform execution
Defined by the business
Net revenue
= gross revenue − discounts − credits
- Owner
- Finance
- Used for
- Quarterly reporting
Model, mappings and native output
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 Cortex Analyst
Net revenue grew 5.4% from Q2 to Q3.
Definition used: net revenue = gross revenue − discounts − credits (owner: Finance), served through Semantic Views.
Fictional example
Same data. Different question. Different decision.
The same fictional revenue fixture, traced from definition to mapping to native semantic asset.
Question
“How much did revenue grow?”
AI answer without the business definition
Revenue grew 10%.
Gross revenue: $10.0m → $11.0m. The gross-revenue answer is 4.6 percentage points above the growth Finance reports.
Gross revenue, Q2 vs Q3 2026
Growth: 10.0%
| Component | Q2 | Q3 |
|---|---|---|
| Gross revenue | $10.0m | $11.0m |
| Discounts | $0.5m | $0.8m |
| Credits | $0.2m | $0.4m |
| Net revenue | $9.3m | $9.8m |
Fictional example in USD. Not customer data.
Business definitions in, native semantics out — with review between.
Business owners
- Agree what each measure means, in plain language.
- Name the owner and where it is used.
- Review changes before AI uses them.
Your data team in Snowflake
- Maps definitions to tables, columns and relationships.
- Deploys native semantic views through its own release process.
- Keeps governance, access and runtime in Snowflake.
Snowflake Semantic Views hold logical tables, facts, dimensions and metrics inside Snowflake, and Cortex Analyst uses them to answer questions. Duodata helps your business and engineering teams curate the definitions, ownership and mappings behind those semantic views.
Existing reports and models are valuable inputs: we start from what your teams already use.
Deploy and maintain semantics.
Bring business meaning, physical schemas and open models into one engineering workflow. The Snowflake Native App deploys Snowflake semantic views used by Cortex Analyst. Already have Ossie models? Start with the Snowflake Native App, then connect Duodata's business definitions when your team needs shared ownership and meaning.
Build and maintain the layers behind your AI.
Use business definitions, source mappings and engineering standards to build transformations, facts and dimensions, then validate the results from source to output.
- 01
Silver and gold layers
Transformations, facts and dimensions built to your standards.
- 02
Maintained formulas
Definitions and schema changes flow through review, not rework.
- 03
Reconciliation
Source → silver → gold → semantic checks on every change.
Worked examples for Snowflake
- 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
Official Snowflake documentation
- Snowflake Semantic Views(opens in a new tab)
- Cortex Analyst(opens in a new tab)
- Snowflake Native Apps(opens in a new tab)
Running on Databricks? See Duodata for Databricks
Start a free pilot
Bring one business question, its owner, the data in Snowflake and the result you expect. We agree the scope of a free pilot 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