Google Analytics Data Quality & Governance

Quality Pillars

• Define accuracy, completeness, timeliness, and compliance expectations for Google Analytics data.
• Note SLAs or thresholds that trigger investigation when metrics drift.
• Document how quality metrics are reported to stakeholders.

Ownership & Stewardship

• List platform owners, data stewards, and stakeholder groups with responsibilities.
• Capture escalation paths when issues are discovered during QA or reporting.
• Reference supporting documentation (data dictionaries, MDM references, retention policies).

Monitoring & Alerts

• Describe automated checks, dashboards, or scripts that watch for anomalies.
• Track manual review cadences (daily spot checks, weekly audits, monthly deep dives).
• Record tooling required for monitoring (vendor alerts, Looker/Power BI, custom scripts).

Incident Response

• Outline steps for triaging issues, assigning owners, and communicating impact.
• Note templates for incident reports or stakeholder updates.
• Capture remediation best practices once root cause is confirmed.

Backlog & Improvements

• Maintain a list of governance enhancements planned for upcoming sprints.
• Flag policy decisions awaiting legal, privacy, or leadership approval.