Data Classification (data Management)

Data Classification (data Management)

In the field of data management, data classification as a part of Information Lifecycle Management (ILM) process can be defined as a tool for categorization of data to enable/help organization to effectively answer following questions:

  • What data types are available?
  • Where are certain data located?
  • What access levels are implemented?
  • What protection level is implemented and does it adhere to compliance regulations?

When implemented it provides a bridge between IT professionals and process or application owners. IT staff is informed about the data value and on the other hand management (usually application owners) understands better to what segment of data centre has to be invested to keep operations running effectively. This can be of particular importance in risk management, legal discovery, and compliance with government regulations. Data classification is typically a manual process; however, there are many tools from different vendors that can help gather information about the data.

Read more about Data Classification (data Management):  How To Start Process of Data Classification?, Basic Criteria For Unstructured Data Classification, Basic Criteria For Structured Data Classification, Benefits of Data Classification

Famous quotes containing the word data:

    Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.
    Grace Baruch (20th century)