The security concept of classified vs declassified data is somewhat clear, and there is yet a broader type of commerce-oriented data classification for businesses that contributes to the success of data analytics pipelines. Tech Target brought this interesting information to our attention in their article, “Data analytics pipeline best practices: Data classification.”
There is a hierarchy of data classification levels, depending on sensitivity, that determines who can access what. Some classifications are required by law, for instance when dealing with employee personal information.
Data classification is a method for defining and categorizing business-critical information. It’s usually used in large organizations to build security systems following strict compliance guidelines, but it can also be given dual-use capabilities in the form of overall data governance frameworks. And while the most important use of data classification is to understand the sensitivity of stored information and to build the right cybersecurity tools, access controls, and monitoring to protect it, the most lucrative use of data overall can be had through analytics.
At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative, and precise semantic discovery of your new and emerging concepts. We help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, changing search to found.