In 2014, the Gartner research firm identified and introduced the world to a new market segment they termed, “File Analysis”. By examining their thousands of customers, Gartner discovered that a sizeable amount of them were negatively affected by the exploding growth of their network-stored data. Their findings showed that continuing to add more storage capacity was a band-aid fix to a storage growth problem that needed to be properly addressed.
Published in September of 2014, the first Market Guide for File Analysis Software report defined critical aspects of a file analysis approach to proper data management. File analysis tools, Gartner said, should include the ability to report on stored data, manage storage with automated policies, and remediate problems. Within the report, Gartner highlighted many vendor file analysis tools, including Novell File Reporter and Novell Storage Manager.
We were honored to be recognized in this report, as it continued a trend by research organizations to recognize our file management products as market leading technologies. You might recall that the IDC research organization reviewed both File Reporter and Storage Manager a few years ago and enthusiastically concluded that “The world must know about this technology …”
With the upcoming Micro Focus re-branded product releases this year, we’ve recently launched a new File Analysis microsite. In an easy-to-understand infographic approach, the microsite breaks down the problem of data growth, its effects, and how to address it using file analysis tools. There are download links for a Flash Point paper, a Solution Flyer, and an infographic. There’s even a cool video that summarizes what file analysis is all about.
As we get closer to releasing future updates to Micro Focus File Reporter and Micro Focus Storage Manager, I’ll be blogging about some of the new features we’re introducing based on Gartner’s overall definition of file analysis and how these exciting new features are going to help bring even more relief to customers dealing with the effects of “data glut.”
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