Data Governance

Use when defining data contracts, consent policies, and monitoring for automation programs.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Automation Data Governance Skill

When to Use

  • Launching new journeys requiring cross-system data sharing.
  • Auditing consent/suppression logic across email/SMS/in-app.
  • Investigating data quality incidents impacting automation.

Framework

  1. Data Contracts – document required fields/events, owners, freshness SLAs, fallback behavior.
  2. Consent & Compliance – track opt-in types, regional consent, TTL, audit trails.
  3. Identity Resolution – ensure consistent IDs across product, CRM, MAP, CDP.
  4. Monitoring – dashboards/alerts for data latency, schema changes, null spikes.
  5. Change Management – versioning, rollback, and communication paths.

Templates

  • Data requirements matrix (journey → fields/events → source → owner → SLA).
  • Consent policy doc (channel, region, legal basis, suppression rules).
  • Incident log + RCA template.

Tips

  • Set automated kill switches when critical fields are stale or missing.
  • Collaborate with security/legal on retention + privacy impact assessments.
  • Align governance cadences with quarterly automation retros.

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