Digital
Data quality review
Formal definition
Data quality review is an assurance process in digital focused on securing technical compliance, content governance, and robust data hygiene across digital applications.
What this actually means for you
Use Data quality review to guide live decisions: run automated and manual compliance checks, clean duplicate databases, and verify consent history, with ownership and reporting agreed before launches, integrations, and platform changes.
Example: In a live quarterly cycle, Data quality review is applied like this: the digital lead reviews accessibility compliance logs and resolves database validation warnings before routine audit schedules. The team then records the decision trail in evidence logs, findings summaries, and remediation actions.
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