Data quality management involves the systematic oversight and control of data collection, storage, and usage to ensure its accuracy, consistency, and reliability. It is essential for informed decision-making and operational efficiency, requiring a comprehensive strategy that encompasses data governance, quality assessment, and continuous improvement processes.