Five Reasons Why You Shouldn’t Move Your Data

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Data can be unified in one view, regardless of where it resides, and consolidated in a “virtual information integration.” Unified indexing technology is the key to harvesting and harnessing big, fragmented data, without moving it. Enriching this data through automatic metadata application and text analytics allows it to be correlated and ranked for relevance based on dynamic criteria.

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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