The 5 Stages Of Data Lifecycle Management
Datamation, Friday, August 18,2023
Data lifecycle management addresses how to gain control of and capitalize upon the vast amounts of data most organizations possess. Enterprises that can break down their organizational silos and intelligently unify and analyze their data are more competitive and more successful than their peers.
Accomplishing those goals requires careful organization of the five different phases that comprise the data lifecycle: creation, storage, usage, archiving, and destruction. This article details those stages and gives best practices for each.
What Is The Data Lifecycle?
Broadly speaking, data lifecycle management is the discipline of ensuring that data is accessible and usable by those who need it from beginning to end. The data lifecycle itself covers all the stages an organization must pass through in its interaction with data, whether financial, customer-focused, or otherwise. Depending on who you ask, there are either five phases to the data lifecycle or eight.