Data lifecycle management (DLM) in data governance entails a systematic approach to managing data from its creation to its deletion. This includes stages like data collection, storage, usage, archiving, and ultimately, disposal. DLM ensures that data remains accurate, accessible, and secure throughout its lifecycle. Effective DLM helps organizations comply with regulations, optimize data storage costs, and make informed decisions based on reliable data. Additionally, it aids in maintaining data integrity and enhances the overall quality of data governance practices.