It is a process that involves sorting through data, determining the criteria for high-quality information, and developing strategies and tools for eliminating data that failed to meet these requirements.

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Data quality management, in short, is data sorting that's usually done by a digital system or database but can also be done by a team of people. The quality of the data is measured by how easy it is to process said data (if it's jumbled, it would be low-quality) and how useful the data is. DQM is used to improve the data quality for a specific enterprise or business.
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