{"id":3896,"date":"2013-07-16T07:00:32","date_gmt":"2013-07-16T15:00:32","guid":{"rendered":"http:\/\/www.formtek.com\/blog\/?p=3896"},"modified":"2013-07-16T07:00:32","modified_gmt":"2013-07-16T15:00:32","slug":"data-hording-an-expensive-habit-most-businesses-cant-shake","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-hording-an-expensive-habit-most-businesses-cant-shake\/","title":{"rendered":"Data Hoarding: An Expensive Habit Most Businesses Can't Shake"},"content":{"rendered":"

With all the hype around Big Data and the ease with which data can now be captured and stored, it’s no wonder that data hording is becoming a problem for companies. \u00a0Data hoarding is the excessive storing of data — data that is outdated or no longer relevant. \u00a0What can complicate the problem is when data is stored in incorrect or insecure places.<\/p>\n

What’s wrong with never deleting any data once it’s been stored?<\/p>\n

Studies on the usage of files stored in file shares and repositories have found that 80 percent of the files stores in that locations haven’t been accessed for three to five years. \u00a0The costs for keeping these unused files can be expensive — costs for infrastructure, backups and recovery, and data migrations. \u00a0 But the operations costs can potentially be dwarfed by legal costs that could potentially arise. \u00a0During the legal discovery period, every piece of data concerning the issue in question needs to be examined to determine whether or not it is relevant. \u00a0Legal costs for eDiscovery of data average $10-20,000 per gigabyte of data.<\/p>\n

But, shouldn’t we keep all our data if we plan to do Big Data analytics? \u00a0Jake Frazier<\/a>, attorney at IBM, told InformationWeek<\/a> that “‘Well, we don’t want to delete our data if we can mine value out of it. \u00a0I think that’s a false dichotomy. Once you delete data that’s stale, the algorithms actually function much better from an analytics standpoint. Leaving stale data can actually skew the algorithms towards older facts.”<\/p>\n

Amber Simonsen<\/a>, consultant and project manager, said that<\/a> “you get to a point where you have to ask yourself what you plan to produce with the data. \u00a0We\u0092re all so data-hungry that sometimes our eyes are bigger than our stomach. Organizations have a ton of data \u0096 there\u0092s no end in sight \u0096 but is data from five years ago really going to provide you with anything valuable?… \u00a0What begins as an innocent desire<\/a> to keep relevant information close at hand can turn into an unhealthy obsession that plagues IT departments and Records Managers in organizations everywhere.”<\/p>\n

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With all the hype around Big Data and the ease with which data can now be captured and stored, it’s no wonder that data hording is becoming a problem for companies. \u00a0Data hoarding is the excessive storing of data —…<\/span><\/p>\n

Read more ›<\/a><\/div>\n

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