Automated discovery and classification of the data means improved classification accuracy, less manual work and less human error. A large number of organisations do not have a clear view of the data they have and where it resides, this is very prominent within the unstructured landscape as control over this data is not traditionally structured or controlled. Although gaining insight into data landscape is a primary benefit, additional benefits go far beyond just identifying data that is sensitive. These include understanding over exposed resources, unnecessary access to data or highlighting redundant, trivial and obsolete (ROT) data.
The remediation of such data once discovered is the next step in the process which allows for items such as ROT to be defensibly disposed of according to process and policy, ultimately minimising risk as well as freeing up resources.