Data lifecycle management (DLM) is the process of appropriately securing data throughout its lifespan. Its basic stages are creation, storage, use, sharing and destruction.
Figure 1. 6 basic stages of data lifecycle management
The goal of DLM is to ensure data security and regulatory compliance at all stages without compromising business productivity. This requires the application of different processes and principles at different phases of the cycle.
It's important to remember that data lifecycle management is closely related to information lifecycle management (ILM), but there is a subtle difference between them. DLM deals with raw data such as files and databases and their attributes: file type, size and age. ILM, on the other hand, goes a step further and takes into account the information in a file or database record and how different pieces of data are combined. A lot of raw information is stored in various silos and may include messages such as a company purchase order. Both DLM and ILM can include both structured and on-premises or cloud-based content.
Three main goals of data lifecycle management
The most important goals of data lifecycle management are the three elements of the CIA triad:
Phases of data lifecycle management
The six basic parts of the DLM presented earlier can be presented in a more descriptive way.
Figure 2. Detailed breakdown of data cycle management phases
How Netrwix can help?
Modern organizations often store petabytes of data, both structured and unstructured, in multiple silos, so effective DLM is not possible using manual methods. Netwrix allows you to manage the entire data cycle from one pane.
If you want to learn more about the solution, please contact Damian Malinowski, who is the solution manager at Bakotech.