Data lifecycle management (DLM) is an approach to managing data throughout its lifecycle, from data entry to data destruction. Data is separated into phases based on different criteria, and it moves through these stages as it completes different tasks or meets certain requirements. A good DLM process provides structure and organisation to a business’s data, which in turn enables key goals within the process, such as data security and data availability.

These goals are critical for business success and increase in importance with time. DLM policies and processes allow businesses to prepare for the devastating consequences should an organisation experience data breaches, data loss, or system failure. A good DLM strategy prioritises data protection and disaster recovery, especially as more malicious actors enter the marketplace with the rapid growth of data. This way, an effective data recovery plan is already in place in the event of a disaster, curtailing some of the devastating effects to a brand’s bottom line and overall reputation.

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