Digital
Data quality framework
Formal definition
In digital, Data quality framework refers to a framework used for 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 framework should be documented clearly and applied consistently; run automated and manual compliance checks, clean duplicate databases, and verify consent history.
Example: During a planned change window, teams apply Data quality framework as follows: the digital lead reviews accessibility compliance logs and resolves database validation warnings before routine audit schedules. They then update planning templates, dashboards, and review criteria for the next cycle.
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