Digital
Data quality checks
Formal definition
Data quality checks is an operating term in digital focused on securing technical compliance, content governance, and robust data hygiene across digital applications.
What this actually means for you
For day-to-day delivery, Data quality checks should be documented clearly and applied consistently; run automated and manual compliance checks, clean duplicate databases, and verify consent history.
Example: At the next review checkpoint, Data quality checks is used in practice like this: the digital lead reviews accessibility compliance logs and resolves database validation warnings before routine audit schedules. Accountabilities are captured in team templates, reporting packs, and operating checklists.
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