The Data Governance Podcast What is the best way to set data quality standards?
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May 13, 2025 Discover the art of setting practical data quality standards that truly matter. The discussion emphasizes the importance of identifying critical data and crafting tailored rules for quality assessment. Collaboration with data users is key to measuring attributes like accuracy and completeness. Tune in for insights on enhancing your organization’s data governance journey!
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Avoid Overly Prescriptive Standards
- Avoid overly prescriptive data quality standards documented in many formal documents.
- Instead, focus on capturing data quality rules and standards in your data glossary or catalog for critical data only.
Focus on Critical Data Only
- Set data quality measures only for data that's critical to your organization.
- Define which data needs quality monitoring and how you'll measure quality using standard data quality dimensions.
Data Quality Rule Example
- Date of birth is an example of critical data with multiple data quality rules like completeness, validity, and accuracy.
- HR may require 100% accuracy, showing how standards depend on data users' needs.