AI grounding

Agent usage keeps your Metrics Ontology and semantic layer fresh.

Duodata exposes governed metric definitions through MCP, so AI agents can ask approved semantic views directly while their missing metric needs become proposed updates to the ontology.

• Agents can retrieve definitions, formulas, dependencies, owners, and source context from Duodata.
• Agent questions surface missing or unclear metrics as proposals for definition and governance.
• Approved updates keep the underlying semantic views, schemas, and ETL transformations aligned with current analytics needs.

Synonyms and tags

Let every department use its own language for the same metric.

Finance, sales, and operations often use different terms for the same business metric. Synonyms help people and agents resolve those terms to one governed definition instead of creating duplicates.

• Add synonyms like AOV, average order value, basket size, or department-specific terms.
• Use tags to group metrics, slices, sources, and reports by domain, owner, or governance status.
• Smaller improvements include cleaner PDF exports, easier navigation, and refreshed metric cards.

Generate semantic layers from governed metric definitions.

Duodata agents help turn approved metric logic into platform-native semantic assets such as Snowflake Semantic Views, Databricks Metrics, Microsoft Fabric, and dbt.

Value driver trees with impact explanation.

Metric relationships can now explain why one metric influences another, helping agents reason about how the business works.

Sign up for free on duodata.ai

Create a workspace and start with the metrics your team already discusses in reports, dashboards, and planning meetings.

Connect your AI agents

Ground AI agents in Duodata through MCP so they start collecting metric questions that still need definition and governance.

Define governed metrics

Turn collected metric needs into approved definitions with meaning, formula, owner, source context, and dependencies.