Data Quality
Ensure accuracy, completeness, consistency, and timeliness of your data
10 min read
Data Quality Dimensions
Accuracy
Data correctly represents real-world values
Completeness
All required data is present
Consistency
Data is uniform across systems
Timeliness
Data is current and available when needed
Validity
Data conforms to defined formats and rules
Uniqueness
No duplicate records exist
Data Quality Framework
1
Define
Establish data quality rules and thresholds for each data domain
2
Measure
Implement automated quality checks and monitoring dashboards
3
Improve
Address root causes and continuously enhance data quality
Recommended Tools
Great Expectationsdbt TestsSodaMonte CarloDeequDatafold