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KRYOSDATA SCIENCE
DATA ASSET GOVERNANCE

Data asset governance

A governance model that produces decisions, not policies: ownership, evidence, rights, measurement, impairment, and external attestation.

CDO · GC · Audit Committee · Board · 9 min

Governance that decides

A governance model is judged by the decisions it produces - recognition, impairment, productization, sunsetting - not by the policies it publishes.

Roles and quorums

Owner, steward, rights custodian, measurement lead, and an executive sponsor with the authority to recognize, impair, or exclude. Quorums are defined per decision type.

Cadence

Continuous for control and rights; quarterly for measurement; on-event for impairment; annual for the binder refresh.

Frequently asked

Questions buyers actually ask.

Does this replace our data governance forum?

No. It gives the forum a decision-grade agenda and an evidence-led record.

Who chairs?

Typically the CDO with rotating CFO and GC sponsorship; configuration depends on the entity.

Is the cadence heavy?

Lighter than most entities expect. Most asset records change rarely; only material assets attract recurring attention.

Is governance auditable?

Yes. The binder is the auditable artifact and travels with the registry.

More in Data Asset Governance
Data Asset Governance
Data clean rooms and secure enclaves

When a clean room or enclave is the right monetization surface, what it actually proves, and how it interacts with rights and warranty posture.

Data Asset Governance
Data asset impairment, sunsetting, and exclusion

The other half of recognition - when to impair, when to sunset, and when to keep an asset excluded.

Engagement

Begin with a forensic data asset assessment.

A focused engagement that maps your data estate, scores assets against KRYOS frameworks, and produces a board-ready brief on what to recognize, value, productize, and capitalize.

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