Enterprises are showing a lot of interest in sweeping up, storing and organizing vast amounts of data in their data centers. And all this hard work constitutes to one thing and that is to find insights and strategies for creating new revenue streams for enterprises. But what happens when stored data reaches its expiration date?
It is an evident fact that virtualization and hybrid cloud architectures have sincerely played their roles well in reducing storage costs. But the entire data which is being stored is dark or lacking a known value. Worse, a study released this month by information management vendor Veritas Technologies found that one-third of stored data was considered “redundant, obsolete and trivial,” or ROT
As a result of the study, the company argues that databergs are characterized by a relatively small amount of data deemed business critical while the remainder is dark or ROT data below the metaphorical surface. Moreover, the study found that U.S. companies tend to have the highest rates of dark data.
Over 2,500 IT executives from different industries participated in the Veritas survey and the study found that more than half of the data stored and processed by companies in 22 countries has no known value. The study confirmed the fact that 30 percent of the information stored in US is ROT data.
The survey also confirmed that data ROT problem is accelerating due to the practice of companies pushing data to cloud. The respondents who participated in the study made by Veritas said that most companies are moving their data to cloud platforms as it nears its expiry date. But the company argues that pushing data to the cloud can just move the problem further away, adding to the unclassified dark data.
Adding to the data mishmash on enterprise IT platforms is the growing amount of personal data on corporate networks as more workers store more private data on work devices. That data exposes companies to new data privacy rules that can differ from one region to the next.
Veritas claims that the inability to reverse the databerg phenomenon could end up costing companies trillions of dollars in wasted storage resources by 2020. One solution is implementing IT policies that schedule when ROT data must be deleted.
According to the Veritas survey, 35 percent of companies with such policies in place require data to be deleted on a quarterly basis. The study found a direct correlation between freeing up storage and other IT resources and improved cash flow.
Hence, are you worried that your storage resources are being sucked by databergs?
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