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ISACA Certified Data Privacy Solutions Engineer · Isaca
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Routine automatic validation ensures that personal data is regularly checked for accuracy, completeness, and consistency. This process can detect errors, outdated information, or missing data, which helps in maintaining high-quality personal data. Automatic validation helps organizations proactively address data quality issues as they arise, ensuring that personal data remains accurate and reliable over time.
Updating the data quality standard through periodic review is a policy, but it doesn't directly do anything to maintain the quality of personal data. Routine validation makes the most sense (USPS API for address validation, user attestation of collected data, etc.)