Data Quality Management
Data Quality Management refers to the process of defining, implementing, and maintaining a set of standards and procedures to ensure that data is accurate, complete, consistent, and timely throughout its lifecycle. It involves identifying data quality issues, assessing their impact on business operations, and taking corrective actions to improve data quality. Data Quality Management is essential for organizations to make informed decisions, comply with regulations, and gain a competitive advantage. It includes activities such as data profiling, data cleansing, data enrichment, and data governance.
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