Information Lifecycle Management (ILM) is the management of data consistently from its creation to its disposal. ILM includes storage strategies, processes, and technologies to efficiently manage data, combining all conditions to promote information control improvement within an enterprise.
With pressures from IT system management, legal constraints on storage policies, market volatility, and competition, the fast-growing volume of data has prompted many organizations and enterprises to seek new ways to manage and store data. From these pressures, the importance of an organization's data management solution throughout the data lifecycle, avoiding data dispersal, is increasingly emphasized.
Centralized ILM solution prioritizes managing valuable exploitable information, meeting storage policy requirements, utilizing existing values of the enterprise to increase business value and achieve higher organizational operations.
From practical needs arise economic value and the operation of organizations based on database systems  | A stable operating platform that responds quickly to data exploitation and input/output requirements is necessary. |
 | Hardware upgrade and replacement must be regularly reviewed and evaluated with fast-growing needs and high costs.
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 | Compliance with legal requirements, maintaining data policies within the organization, and encrypting data to maximize economic value before data transfer must be ensured.
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 | Work productivity can be optimized by reducing latency originating from system performance issues; optimizing data storage areas to make use of existing infrastructure.
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  | A continuous data management system is needed to address inconsistent in data management and storage.
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 | A solution appropriate for technological trends with the ability to integrate data into Big data systems is needed.
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A description of the tasks of a Database System