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Services/Data and AI

Data governance

Ownership, quality, catalog, and access. Governance as a working practice, not a committee that meets quarterly and changes nothing.

For Regulated firms and any company about to put AI on messy data.

Outcomes

  • Named owners for critical data
  • Access that matches sensitivity
  • A catalog people can find

What is included

  • Domain ownership model
  • Quality rules on critical sets
  • Catalog and lineage
  • Access and retention policy

Platforms: Collibra, Purview, Alation, dbt

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