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Big Data: Lack of Right Skill Sets Trip Up Many Big Data Projects
Big Data is on the top of the radar for many businesses, and there are plenty of tools being sold to help collect and analyze massive amounts of data. But also topping the list of challenges for these businesses is a lack of the right skillsets for being able to correctly analyze and interpret the data. A survey by PwC and Iron Mountain found that three-quarters of businesses say their Big Data efforts are failing because they lack right people with the right skills.
Richard Petley, director of PwC Risk and Assurance, said that “data is the lifeblood of the digital economy, it can give insight, inform decisions and deepen relationships. It can be bought, sold, shared and even stolen — all things that suggest that data has value. Yet when we conducted our research very few organizations can attribute a value and, more concerning, many do not yet have the capabilities we would expect to manage, protect and extract that value.”
Part of the problem is the complexity of the tools that are available. Going from zero to ready with a tool like Hadoop, for example, can present a significant learning curve that needs to be overcome, and many companies are finding that they just can’t do it.
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