Data quality assurance is the process of profiling the data to discover inconsistencies, and other anomalies in the data and performing data cleansing activities (e.g. removing outliers, missing data interpolation) to improve the data quality .
These activities can be undertaken as part of data warehousing or as part of the database administration of an existing piece of applications software.
Read more about Data Quality Assurance: Criticism of Existing Tools and Processes
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