Data Quality Assurance
**Data Quality Assurance**
What is Data Quality Assurance?
Data Quality Assurance (DQA) encompasses the processes and procedures used to verify and improve the reliability, accuracy, completeness, and consistency of data. It involves profiling data to identify anomalies, validating data against predefined rules, and implementing corrective actions to fix errors. DQA is commonly used in data warehousing, business intelligence, and data migration projects to ensure that data is fit for purpose and can be used for decision-making with confidence. Techniques include data cleansing, data transformation, and data auditing.
What other technologies are related to Data Quality Assurance?
Data Quality Assurance Complementary Technologies
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