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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.Extract from article by Kon Leong
Ideal data management strategies are different for every organization; everyone has his or her own take on the exact definition of what “information governance” is even supposed to be. Full data management has become a very multifaceted business challenge, and analysis tools seem to promise to offer some assistance. However, analytics can’t fix the absence of strategy.
Myths arise because everyone loves a simple explanation. We’re drawn to them because they offer to (seemingly) to streamline the vast and unwieldy. The more complex a topic, the more likely it is that myths will spread. File analysis and file governance are excellent examples of this. With file share environments being the epicenter for human-generated activity within the business, organizations question how file analysis best fits into the data management strategy. However, with such a broad topic, it’s easy to fall into the occasional trap made by an attractive myth. Here are some of the more common ones.
Myth #1: File analysis = information governance. Analysis of a file share environment – in isolation – is not information governance; it is simply a snapshot assessment of content at a given point in time. However, file analysis certainly can be used as part of an overarching information governance program. Increasingly, this is exactly the case with file shares, which have often been neglected in governance efforts. Analysis offers a first step for businesses that simply don’t know where to start with sprawling file environments.
Read the complete article at Data Debunked: The Myths and Truths About File Analysis