domains / families / data / warehouse

warehouse

authentic

Plan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.

When to use

• The user wants to answer a business question using an authorized data warehouse.
• A proposed SQL query needs a review for grain, joins, filters, privacy, or interpretation risks.
• An analysis needs a clear record of scope, freshness, assumptions, and source tables.

When not to use

• This skill cannot discover an undocumented schema or verify a result without an authorized data source.
• It does not replace organization-specific metric definitions, privacy policy, or expert review.
• It does not diagnose pipelines, administer warehouses, or make product and business decisions.
• Conclusions remain limited by source quality, freshness, sampling, and the analytical design.

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