Data quality management refers to the systematic processes and practices that ensure the accuracy, consistency, completeness, and reliability of data throughout its lifecycle. This involves establishing standards for data quality, monitoring data for compliance with those standards, and implementing corrective actions when necessary. Good data quality management supports effective decision-making, enhances data governance efforts, and is crucial for maintaining the integrity of data warehouses and related systems.
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