July 2026 Product Update

Duodata turns existing reports and dashboards into governed business context that AI can understand.
Duodata

Monthly product update - July 2026

Turn existing reporting into business context for conversational analytics.

Upload the analytics assets your teams already use, such as Power BI, Tableau, or Excel reports. Duodata creates a first version of your Metrics Ontology, then AI helps you complete and improve the definitions behind it. That governed business context enables AI-powered self-service business intelligence and trusted conversations with your data.

Open Duodata

A faster way to build your Metrics Ontology

Start with what your organization has already defined in reports, dashboards, and files. Use AI to turn that starting point into complete, governed business context, then keep the semantic layer aligned inside your data platform.

Start with what exists

Import your reports and dashboards.

Your existing analytics already contain valuable knowledge about what the business measures and how teams talk about performance. Duodata uses those assets to create the first version of your ontology.

  • Upload Power BI models or Tableau workbooks.
  • Bring in additional definitions from Excel, CSV, and PDF files.
  • Review the proposed metrics, slices, reports, and sources before adding them.

Import your definitions

Turn existing analytics assets into reviewable ontology candidates.

Drop a report, dashboard, or file here Duodata identifies definitions and relationships automatically
Power BITableauExcelPDF
18Metrics
9Slices
4Reports
3Sources
Build and maintain with AI

Let AI help you build a clean, complete Metrics Ontology.

Duodata AI supports the full lifecycle of your ontology—from the first draft to ongoing refinement—while keeping every proposed change reviewable.

  • Bootstrap: describe your company or domain and let AI draft a starting ontology.
  • Expand: add missing metrics, slices, reports, and sources through natural-language prompts.
  • Maintain: refine descriptions, formulas, dependencies, and source context as the business evolves.
  • Review: inspect AI-proposed changes in Suggestions before they become governed definitions.

Build with Duodata AI

Draft, improve, and govern your ontology throughout its lifecycle.

Ask Duodata“Add the missing profitability metrics and document their dependencies.”
1Bootstrap
2Expand
3Maintain
4Review
3 suggestions
Ready for steward reviewReview

A secure way to activate your Metrics Ontology

Snowflake Native App

Project your Metrics Ontology into your data platform with a native app—and keep it up to date.

We are excited that the Duodata Snowflake Native App is now live and easy to install through the Snowflake Marketplace. It runs inside Snowflake to generate your semantic layer—with the same native-app approach coming to Databricks soon.

  • Keep Snowflake semantic and metric views up to date from the latest governed YAML definition.
  • Detect drift between the expected model and changes in the underlying data-platform schema.
  • Keep Duodata isolated from the data itself: the YAML connects the systems without Duodata accessing data stored inside Snowflake.

Duodata Native App

Installed through Snowflake Marketplace · Databricks coming soon

Governed YAMLDefinitions only
→
Snowflake Native AppRuns inside your platform
Semantic views● Up to date
Schema drift● No drift detected
Duodata data accessNone

Highlights from past product updates

A quick look back at recent improvements that make governed definitions executable and easier to understand.

Pending MCP Proposals

Changes proposed by AI agents via the Duodata MCP server. Nothing applies until you approve.

new_metric ACME-FIN-009
5/16/2026

Required dependency for EBITDA. Without a registered D&A metric, EBITDA would have to be derived ad hoc from ERP reports.

{
  "identifier": "ACME-FIN-009",
  "name": "Depreciation & Amortization",
  "unit": "USD"
}

Ground AI agents in governed metric definitions.

Through MCP, agents can retrieve approved definitions and context while missing metric needs become proposed updates to the ontology.

Metric terminology

⌕"basket size by region"

Synonyms

AOV Average order value Revenue per order basket size

Average Order Value (AOV)

One governed definition · ACME-SALES-0055

Approved

Let every department use its own language.

Synonyms help people and agents resolve department-specific terminology to one governed metric definition instead of creating duplicates.

Try it out with your existing reporting

You do not need to model the business from a blank page. Import what already exists, then work with AI to make it complete and trustworthy.

1. Import

Upload a Power BI model, Tableau workbook, Excel file, CSV, or PDF. Duodata turns it into ontology candidates for your review.

2. Polish with AI

Ask Duodata to write, clarify, and improve the definitions. Review its suggestions and approve what belongs in the governed ontology.

Start from your existing analytics

Want to govern your analytics stack with the Duodata Metrics Ontology?

Reply to this note and we will help you define clean business metrics, implement them across your analytics stack, and make them available to dashboards and AI agents from one governed foundation.

Start the conversation