Clearing the Big Data Talent Hurdle: One Problem, Multiple Solutions
October 29, 2014
Grazed from TalkinCloud. Author: Todd Thibodeaux.
Businesses today are drowning in data, and many don’t have the resources to get their heads above water. As with countless other enterprise technologies, big data adoption and application hinges on having the right people.
Time alone is unlikely to address the gulf between the big data skills employers demand and their staffs’ technical competence. According to CompTIA’s"Second Annual Big Data Insights and Opportunities" report, even half of all businesses that consider themselves ahead of the big data adoption curve struggle with skill shortages. As these gaps widen, firms will struggle with data silos, diminished productivity and stiffer industry competition…
To manage big data talent costs and the pressure to keep up with emerging IT trends, organizations have two options: outsource to third-party big data specialists or develop internal expertise. With the McKinsey Global Institute estimating a shortage of almost 1.7 million big data workers by 2018, organizations must take some action now or set themselves up for bigger obstacles later. Most importantly, businesses must choose a strategy that best integrates into their existing operations with respect to cost, sustainability and desired results…
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