Welcome to Duodata Documentation
Duodata is a metrics ontology for a specific organization: a small set of structured concepts (not a wiki) that makes metric definitions consistent, governable, and publishable across platforms.
What is Duodata?
Duodata is conceptual but grounded in reality: you define what a metric means for your company and which systems it comes from, without prescribing whether the implementation is SQL, dbt, Spark, or something else. The goal is to reduce metric drift and speed up iteration by keeping definitions, ownership, lineage, and publishing mechanics in one place.
What problem it solves
Metrics governance + implementation alignment. Organizations struggle with inconsistent metric definitions across tools, teams, and platforms. Duodata provides a single source of truth for what metrics mean and how they connect to implementation.
The 4 concepts
Duodata intentionally starts simple: there are four concepts users need to define.
- Metrics: the numbers you measure
- Slices: the dimensions you measure "per"
- Reports: groupings of metrics and slices (data products)
- Sources: where the data originates (systems of record)
You'll see these grouped as the Definitions section in the UI.
How to get support
Email to file a bug or request: support@duodata.ai