Data Lifecycle Management (DLM) describes the 'life' of data in the form of high-level stages, from their inception and creation to eventual archiving or discard. By adopting a structured DLM approach, organizations can achieve better data governance, aid data trackability for measurement validation, and establish procedures for data quality assurance. Structured Data Lifecycle Management (DLM) ensures data reliability, integrity, and protection against corruption from inception to archiving or disposal.