How to Set Up Data Quality Tests

Data quality tests are processes and procedures implemented to assess the reliability, accuracy, consistency, completeness, and relevance of data within a system or database. These tests help identify potential issues or anomalies that may impact the integrity or usefulness of the data. Some popular ways to apply data quality checks include completeness test, consistency test, accuracy test, integrity test, validity test, deduplication test, timeliness test, uniqueness test, data profiling, and data consistency test. Data quality tests can be implemented anywhere along your ETL process, typically through stored procedures running one-off SQL statements within your data warehouse.