When you have an information lifecycle governance initiative, it’s important that you prioritize when and how you deal with sensitive data. Ultimately, the priority is a business decision. Do you manage proprietary information first, and then identify junk, low value, and abandoned data—or the other way around?
There's no one definition of "file analytics." These tools take data on the wrapper of the file and add pattern matching with respect to the contents of the file. They are simpler and less expensive than artificial intelligence or natural language processing.
How do you tackle your file share clean-up and reduce your information risk? Joe Shepley goes through three steps. The first two steps — get rid of ROT and tackling sensitive information — can bring the volume of data down 70% or more. You then can more easily tackle the third step, dealing with key records (like POs and contracts) where you'll need end-user input.
A Doculabs' content cleanup and migration project helped an energy company move from shared drives to an ECM solution. The global energy company found that almost half the content on its corporate drives was obsolete or otherwise subject to disposition. Getting rid of that data helped clear the way for the migration.