In this second issue of our series of articles about Xplore, we look at Data Classification. As you know by now, Xplore is our Data Discovery and Metadata Management platform. In our first article, we shed light on Data Discovery in Xplore and showed how it helps uncover the different data assets in the firm and leverage existing datasets for use by as many data consumers as possible.
What is data classification?
Generally speaking, data classification is the process of organising, tagging and inventorying data assets to make searching for, and navigating through, them more efficient. As well as providing a relevant and meaningful data catalogue to browse and search, data classification helps eliminate redundancies and reconcile inconsistencies, both of which threaten to compromise the quality of data.
How does Xplore facilitate data classification?
Xplore enables firms to build a Data Classification tailored to their business context, providing meaningful organisation and navigation of their datasets. A flexible, user-friendly tool allows data stewards to construct an inventory for their datasets. You can create a hierarchical tree structure with the levels and sub-levels you require, and you can then add your DataSets at the relevant point.
Xplore also promotes the use of tagging to improve categorisation and make searches more effective. The benefits of tagging data cannot be overrated, and there are numerous examples of practical use cases in which data tagging is instrumental, such as identifying sensitive personal data and improving the searchability of unstructured data.
Stay tuned to discover more about the other functionalities and features of Xplore in our upcoming articles. The next issue in this series will focus on metadata management. Until then, if you would like to enquire about Xplore or request a product demo, please contact us. We would love to connect with you!