The data lifecycle is the sequence of stages data goes through, from its creation to its eventual disposal, encompassing the entire lifespan of data within an organization or system. Data lifecycle management (DLM), in turn, is the proper administration of this lifecycle. While each piece of...
Data processing is the step in the data lifecycle where raw data is transformed into useful information via a series of steps in a specific order, making it a cyclic process. At this stage, data processing and calculations take place in order to derive useful information from the data. Common...
Data lifecycle management (DLM) is the process of safeguarding data appropriately throughout its existence. The basic data lifecycle stages are creation, storage, data usage, sharing and destruction: Figure 1. The 6 basic data lifecycle management stages The goal of DLM is to ensuredata securityan...
Data lifecycle management has several important benefits which include: • Process improvement: Data plays a crucial role in driving the strategic initiatives of an organization. DLM helps maintain data quality throughout its lifecycle, which in turn enables process improvement and increases efficiency....
Data lifecycle management automates the lifecycle management processes. Many resources cite the following three goals -- or a close variation of them -- as the most important ones to achieve in an effective DLM strategy: This article is part of ...
Data lifecycle management is a framework that defines the stages that data goes through and provides direction on how to optimize each of those. Policies drive the structure through which data flows to allow for automation of processes. The main stages in the data lifecycle management process are...
At the beginning of this article, we set out to show you strategies for establishing your organization’s data lifecycle management. It’s true that the process is not one-size-fits-all. And as a result, it can seem abstract. But, at the end of the day, there are a few important ta...
What is data lifecycle management (DLM)? DLM is the process of managing data from creation to archiving, ensuring data integrity, quality, and security throughout its lifecycle. Why is DLM important for organizations? Proper DLM ensures consistent data quality, compliance with regulations, efficient...
Data mapping, governance, and third-party risk management all become vital for responsible data use in the process, share, and use stages of the data lifecycle.
Data Lifecycle Management (DLM) involves the management of flow of data from the initial creation stage to the last stage, when it becomes obsolete and needs to be deleted. It is a policy-based approach for the complete lifecycle of data. In accordance with specified policies, data is ...