Give AI the meaning behind your financial numbers.
Turn the definitions your finance team uses into a shared foundation for analysis, reporting and planning. Duodata connects business meaning to the data, so people and AI can work from the same understanding.
- For:
- Finance leaders · FP&A and controlling · Business analysts · BI and analytics teams
- Function:
- Finance and FP&A
The questions
- “Why did net revenue grow more slowly than sales?”
- “Which definition belongs in this management report?”
- “How do we keep the same financial meaning across reports and AI workflows?”
Revenue, from business meaning to analysis
Question
“Sales grew 10%. How much did net revenue grow?”
Sales grew 10%. Net revenue grew 5.4%.
Gross revenue increased by $1 million. Discounts and credits increased by $500,000, leaving $500,000 of net revenue growth.
Using Finance's definition
Net revenue grew 5.4% (+$500,000).
Net revenue: $9.3m → $9.8m. Planning and spending decisions start from the number Finance reports.
Net revenue, Q2 vs Q3 2026
Growth: 5.4%
| 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.
From definition to shared understanding
- 01
Your team defines the number
Finance owns the definition of net revenue, including the discounts and credits that belong in the calculation. The scope and responsible owner stay visible as the definition changes.
- 02
Duodata connects meaning to implementation
Carry that definition into the models and calculations on your data platform. Data teams can inspect the mapping, understand what changed and maintain the connection to the business rule.
- 03
People and AI use the same context
Give analysts and AI workflows the meaning behind the result. Turn a familiar revenue question into an explanation your team can review and use in its next report.
Follow the definition into your platform.
Explore how the same revenue definition connects to schema, semantic models and deployment workflows in Snowflake and Databricks.
Bring your use case
Bring a recurring report, a planning question or an AI workflow your team wants to improve.
- 01One business question
- 02One owner of the definition
- 03The data it depends on
- 04The result you expect
- Bring your use case