Develop an anonymization/pseudonymization approach for [DatasetName] supporting the [UseCase] analytics scenario while maintaining privacy protections commensurate with [ReidentificationRisk] risk tolerance. Compare techniques (k-anonymity, l-diversity, differential privacy, tokenization) and recommend an implementation plan using [Tool].
Output format:
Technique comparison table: Method, Utility Impact, Re-id Risk Reduction, Operational Complexity, Notes.
Decision rationale (≤150 words).
Implementation runbook with steps, validation checks, and rollback.
Residual risk statement and monitoring plan.
Address data linkage risks and intended recipients.