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BI, semantics & data governance

BI tools, semantic layers and catalogs: reuse the definitions you already approved

Your BI models and data catalog already hold the hard-won agreements: what counts as an active customer, which revenue measure finance signs off, which table is the certified source.

These connectors will read measures, dimensions, glossary terms and lineage, so an answer in Claude or Teams can use the same definition as the dashboard instead of inventing its own.

BI, semantics & data governance connectors

  • Alation AI questions over catalog metadata: glossary terms, endorsed tables, stewards and lineage, so answers say which endorsed source they came from.

    Status: Available
  • Collibra AI questions about business terms, data sets, owners and policies, so an answer shows the governed definition and the source behind it.

    Status: Available
  • DataHub analytics on your metadata graph: ask who owns a dataset, what sits downstream, which assertions failed and which glossary terms apply.

    Status: Available
  • dbt MCP questions over your project: metrics from the dbt Semantic Layer, model lineage, test results and job runs, with the compiled SQL shown.

    Status: Available
  • Looker MCP questions answered through your LookML: explores, dimensions and measures, with access filters and the generated SQL shown in each answer.

    Status: Available
  • OpenMetadata API questions in plain language: who owns a table, what is downstream, which data quality tests failed and which glossary terms apply.

    Status: Available
  • Power BI MCP questions answered with your semantic models: DAX measures, relationships and row-level security, with the DAX query shown for each answer.

    Status: Available
  • Qlik dashboard answers in plain language: ask Qlik Sense apps through master dimensions and measures, under section access, with the expression shown.

    Status: Available
  • Sigma Computing AI questions over your cloud warehouse: Sigma data models, metrics and workbooks, with user attributes and the source SQL in view.

    Status: Available
  • Tableau MCP questions over published data sources and workbooks: calculated fields, extracts and user filters, with lineage from the Metadata API.

    Status: Available
  • ThoughtSpot AI questions over your models, formulas and Liveboards, under ThoughtSpot sharing and row-level security, with the source query shown.

    Status: Available

Questions that cross these systems

  • Which Looker explore defines net revenue, and what filters does it apply?
  • Which Power BI semantic models use the gross margin measure?
  • What does the glossary say an active customer is, and who owns that term?

Questions and answers

Does Nexatron replace our BI tool?
No. Dashboards stay the place for fixed, shared views. Nexatron answers the follow-up questions in between, and these connectors will let it use the definitions the BI layer already holds.

Need a system from this list?

Tell us which system and which questions, and we will scope a pilot on your own data.