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A business decides what kind of data it needs, how the data will be managed, and who will be responsible for it during the manage stage of the data life cycle.
What is the definition of Data Life Cycle Management?
Data Life Cycle Management (DLM) is a method of managing data throughout its entire life cycle, from data creation to data destruction. Data is divided into phases based on various criteria, and it progresses through these stages as it completes various tasks or meets certain requirements.
What is Data Life Cycle Management?
Data Life Cycle Management (DLM) assists organizations in protecting their data from loss, deletion, cyber attacks, and other threats. It gives businesses the ability to control how their data is treated, used, saved, and shared. This reduces the risk of data breaches and the misuse of sensitive information.
The DLM process gives structure and organization to a company's data, which enables key process goals like data security and data availability.
DLM policies and processes enable businesses to plan for the devastating consequences of data breaches, data loss, or system failure.
A good DLM strategy prioritizes data protection and disaster recovery, particularly as more malicious actors enter the market as data volumes increase.
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