Data quality management ensures that the data being processed is accurate, consistent, and reliable. This process includes validation, cleansing, and enrichment of data, which are critical for making informed business decisions. By maintaining high data quality standards, organizations can enhance operational efficiency, reduce errors, and improve overall data governance. Effective data quality management also supports compliance with regulations and builds trust among stakeholders in data-driven environments.