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Data Quality Audit

A data quality audit can be done on its own, or as part of a more complete software audit. Most organizations will find they have at least some bad data in their database systems. A data quality audit can identify and correct this bad data, recognize patterns from which solutions can be determined to prevent similar problems in the future, and develop strategies for monitoring data quality.

If you are interested in reading more about data quality, here are some recommended resources:

Information Week (2004, June 25): The Data Quality Audit.

Li Cai and Yangyong Zhu, Data Science Journal (2015): The Challenges of Data Quality and Data Quality Assessment in the Big Data Era.

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