Data Governance Playbook for Learning Use Cases
A targeted playbook explaining governance controls tailored to analytics and experimentation use cases, balancing access, privacy, and speed.
Modules: classification for learning data, access & approval workflows for experiments, synthetic & aggregated alternatives, tagging & lineage for reproducibility, retention rules for experiments, and audit trails. Includes sample RBAC templates and a lightweight data steward role description.
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