Five Reasons Why You Shouldn’t Move Your Data

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Data movement projects are both expensive and time consuming. Many companies invest considerably in these projects, only to find that the data will still need to be cleansed and updated over time. Ultimately, a large portion of this data will be outdated.

In today’s Big Data-driven world, knowledge is everywhere. But it’s also increasingly hard to manage, as most companies are challenged with the proliferation of data in multiple systems, communities, social, on-premise and in the cloud. In fact, Gartner has predicted that data will grow by 800 percent in five years, with 80 percent of it unstructured. It seems like the more data we get, the less we can actually make sense of.

To be more competitive and overcome the challenges presented by this exponential data growth – considering the increases across volume, velocity and variety – companies must look to harness their data, garner better insights and increase return on what is arguably the greatest asset they possess – knowledge – by combining an organization’s unique know-how with data from the marketplace.

However, in attempting to achieve this level of insight from data located across an organization’s IT infrastructure and outside of it in places that matter, many companies make a common mistake: moving data. Here are five reasons, identified by Coveo, why moving data will only hinder the process of leveraging data for actionable insights and the return on a company’s collective knowledge.


Related Topics : Fujitsu, Storage Virtualization, Desktop Virtualization, Virtual Tape Library, InfiniBand

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