How do I document data cleansing and data quality processes?
Data quality is a distinct processing activity for quality assurance and operations. Document data types, rules, access, tools, logs, retention, and recipients. Important: Adhere to purpose limitation and data minimization principles; avoid hidden changes in purpose. Link with data model, KPI reporting, and governance. Services: /es/leistungen
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