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Home › Forums › Art for Climate Forum › What does data quality assurance involve?
Data quality assurance is the practice of carrying out certain procedures to ensure that data is of quality in terms of accuracy, completeness, consistency, and reliability. The procedures may involve data validation, routine checks, error detection, data standardization, and monitoring among others. The process enables organizations to identify any problems before any incorrect data influences reports and processes. The structured process also makes it easy to determine accountability for managing data.
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