Information lifecycle management (ILM). Is the process of managing data from its inception to retirement in order to maximize its usefulness, cut expenses, and reduce any potential legal and compliance issues.
Why should I understand information lifecycle management?
ILM includes techniques for enhancing data security and quality as well as storage optimization. The proactive control of data retention and disposal in compliance with corporate policy is the final benefit of a solid ILM technique.
What advantages does ILM offer?
Data management strategies are essential to stop storage expenses getting out of control. Because the average firm generates an enormous amount of data. ILM manages data expansion, cuts expenses, and supports improved application performance.
By ensuring that data is stored securely and is not kept for longer than is necessary. ILM also averts out-of-compliance situations and lowers legal liability. An organization incurs unnecessary costs and liability when data is maintained for too long additionally, it upholds the compliances policy, preventing audit penalties.
What tasks fall under the purview of information lifecycle management?
Database archiving, test data management, data privacy/data masking, and data/application retirement are the major activities. The general ILM methods, however, may apply to any systematic application of rules to company. Data or initiatives to reduce, enhance, or simplify data security.