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Data Governance and Compliance

Classification, quality, master data, lifecycle controls, governance frameworks, and compliance reporting.

Governance is useful only if people can still get work done. We put classification, quality rules, ownership, and access policy around the data products teams already use, then report against the controls regulators and boards actually ask for.

What this typically produces

  • Named data owners and quality thresholds
  • Classification that drives access, not just labels
  • Reporting that maps to applicable privacy and sector rules
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