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Information Lifecycle Management Solutions- Managing the Vital Data Information is the heart and soul of any business process and the proper management of this is very vital to every organization. Data, which is the basis of all information, should be handled critically from its inception to storage and to the eventual stages of information dispersal to the required medium. Information Lifecycle management is a data management solution which makes use of polices and regulation as to the storage and dispersal of data according to its value and use. The IT organizations and service providers are faced with a number of challenges as far as the information lifecycle management is concerned. Global competition requiring highly efficient operations, advent of cloud services making the business and financial environment more flexible and data explosion with increasing budgetary constraints, obsolescent applications in the data centre are some of major challenges faced by the ILM team. The data values declines through the ages, and with the advent of newer technology and upgraded infrastructure these data gets replaced as per information requirement. However, while implementing ILM, organizations need to consider the fact that though not required on a regular basis, this data need to be archived for later use or reference. Effective data archiving moves the inactive data out of the production database to appropriate storage tiers based on business rules. However, the ILM team needs to ensure that the archived data has the entire context, in read-only format while meeting compliance requirements. Further, de-duplication and compression of data ensure it occupies very less storage space. ILM also includes Data archiving of entire databases leading to retiring obsolete applications or application archiving Various process and technology facilitate migration, retirement and classifying of legacy applications Further, the IT professionals also need to reallocate storage areas in such a way that the under utilized data doesn’t eat up into the IT resources. Data security is also an area of concern while cloning and testing data. Effective Data masking protects the sensitive data. Information Lifecycle Management strategy thus ensures that data is safely and securely managed according the data retention requirements of the organization without complexity and budgetary pressures to the IT organization. Also read on - Secure testing, Oracle database archiving

Information Lifecycle Management Solutions - Managing the Vital Data