Data Life Cycle Management

Data Life Cycle Management

Data life cycle management or DLM is a concept for managing the flow of an information system’s data along its life cycle. That is, from creation and initial storage to the time it becomes obsolete and is finally removable. The involving processes involve automation by DLM products. Typically organizing data into separate tiers as per policies, and automating data migration from one tier to another on the basis of those criteria. Newer, and frequently accessed data, is stored on faster, but more expensive storage media. On the contrary, less critical data is stored on cheaper, but slower media.

About Data Life Cycle Management

The 1980s brought the advent of random access storage (RAM). Along with that businesses shifted from card-punch and tape to databases. This era saw the rise of data management to solve various issues. For instance, the duplication of sensitive customer data was a serious reason for concern. This is the time when Data Life cycle management was also born.

DLM is a set of ruling principles which defines as well as automates the stages of data life, and determines priority. In short, data life cycle management spurs data from one stage to the next. It starts from the creation and finally ends with deletion. It’s a system that can answer the question: when should you delete this data?

DLM is known for dealing with entire files of data. Data life cycle management does not care about individual pieces of data within a given record. It cares about the whole record itself. A decent DLM strategy also makes sure that the most useful and new records are accessible speedily and easily. However, as per the policies of DLM, as a record passes through various life cycle stages, it becomes more and more out of date.

Benefits of DLM

Governance: Every industry sector has its own guidelines for data retention. Practicing a sound DLM strategy helps businesses remain compliant and easy to govern. Hence, a proper Data Life Cycle Management is beneficial for governance and compliance.

Data Protection: As for data protection, DLM plays a major role. A decent DLM strategy offers duplicate data which, in turn, can ensure data stays safe in the event of an emergency. It also helps to make sure that customer data is under protection in various parts of a data infrastructure, where security is a serious concern.

Efficiency: The main motive behind seeking an IT solution is greater efficiency. Applying DLM makes sure that user data are always clean. It also ensures accurate and easy availability of data to users. Automation is the key to driving this process successfully. All of these, together, help businesses achieve greater efficiency.

For businesses looking to increase their efficiency, having a good DLM strategy is a must. Furthermore, DLM is a necessary investment in developing a risk management policy that ensures your organization remains safe at all times. Hence, Data Life Cycle Management is very essential for modern businesses today.

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