Data quality management is the process of ensuring that data is accurate, complete, consistent, and relevant for its intended use. It involves identifying and correcting any errors or inconsistencies in data, as well as implementing strategies to maintain high levels of data quality over time. This includes establishing data quality standards, conducting regular data audits, and implementing data governance practices. The goal of data quality management is to ensure that data is reliable and trustworthy, enabling organizations to make informed decisions and achieve their business objectives.