What Are The Three Main Goals Of Data Lifecycle Management (DLM)?

what are the three main goals of data lifecycle management (dlm)?

What Are The Three Main Goals Of Data Lifecycle Management (DLM)?

One of the most asked questions of the industry is “What are the three main goals of data lifecycle management (DLM)?” This will briefly be discussed in the following article. But, first, let us know about the data lifecycle management for understanding its goals properly.
So, what is data lifecycle management? In layman’s terms, it is basically the management of the data throughout its lifespan. And more precisely, data lifecycle management is the various steps that the data moves through its life from beginning to the end.

The data phases’ lifespan consists of creating, applying, distributing, storing, and removing the data. Each phase of the data life span is maintained and regulated by various rules that maintain information safety, durability, and controlling compliance. Keep Reading to know about the three main goals of data lifecycle management (DLM) in detail.

What Are The Three Main Goals Of Data Lifecycle Management (DLM)?

The most significant problem that industries face while gathering and increasing the data is breach of information. That is why it is essential that the information is handled and maintained efficiently through its life span. Data lifecycle management (DLM) helps to process and manage the information efficiently.
In fact, data lifecycle management’s main goals are the basis by which the data can flow in an unrestricted and simplified way. Therefore, without further delay, let us know about the three most vital goals of data lifecycle management (DLM):

Data Preservation And Privacy

Due to the continuous increase in data use, it has become the new money of this digital world that we now live in. That’s why data protection is the most significant concern for any company and individual for keeping their information efficiently.
But with the rise in the information’s capacity and usage, the chances of losing information are high. That’s why after the data is developed, it needs to be stored safely by limiting the loss of data.
The organized information is usually preserved on the database or in the cloud. And, unorganized information is maintained in a folder server or the cloud.
However, irrespective of the location where it is preserved, the information needs to be protected against unauthorized access, viruses, corruption, or stealing. Data lifecycle management ensures the protection of the data efficiently.


Information is the driving force in this technological world. Hence your company will only grow when the data can be used at any time when required. Moreover, if the information is not accessible when required, it will result in catastrophes of several processes dependent on the information from the past process. Data Accessibility also involves processing and visualization of information as needed by the company.
Therefore, accessibility holds a topmost priority in processing and hence is one of the main goals in data lifecycle management.

Flexibility And Reliability

The recorded information is being used regularly in every process. For which, it needs to be modified and updated each time it is changed. Additionally, the usage of multi-user environments has grown manifold with the increasing popularity and application of information-centric technologies like cloud, internet of things(IoT), etc.

There are several instances of the information created and being used as several users use the same database. These types of activities can cause the data to be present in several places with marginally altered forms creating confusion among the users. For avoiding this kind of situation, data lifecycle management (DLM) plays a huge role. Hence, it is essential to use data lifecycle management to ensure that the information’s flexibility and reliability are intact.
Therefore, these are the three main goals of data lifecycle management(DLM).

Final Word

Managing the data has become the topmost priority for companies for keeping their business flow constant. Hence, all companies must use data lifecycle management to process and manage their information efficiently. Otherwise, it would be tough to even survive in this competitive digital era.