Big Data = Big Challenges

machine learning - how to propagate error from the conv ...Is there a lot of hype about big SOA data, Yes. Is it a complex and complicated Middle Earth of information technology, Absolutely. Does it introduce new difficulties revolving around talent and protection, No question.

The one thing it’s not in question is how critical it really is for organizations to develop a sound large data strategy and forge forward. The good news, Executives recognize the particular opportunities associated with data and analytics. An overwhelming 88 percent from the executives surveyed stated that large data is a top priority for their organization. Lighting a fire under these professionals is the fact that 93 percent see brand new market entrants using big information to differentiate themselves. The not-so-good news, Only 29 percent associated with executives report that they are using large data for predictive analytics or optimize their business. By today, it should be clear that the future associated with business hinges on an organization’s capability to understand capricious customers, fast-changing marketplace conditions, and a dizzying array of elements and variables, often using messf¨¹hler and machine data to take things into context. In inclusion, 51 percent of the companies within the survey said they lack programs to create new business opportunities that could create additional revenue streams through their own big data strategy. Incredibly, 40 percent aren’t looking to increase their success by using big data analytics to enhance resource management. The upshot, Many organizations and CIOs are having difficulties to make sense of big information and formulate a viable strategy. But it’s something that needs to be prioritized. “To get there, many [organizations] must work through a multitude of issues to use their machine data for more advanced forms of predictive data analytics,” says Matt Reilly, an older managing director at Accenture. This includes, he says, “sourcing the right analytics talent to ensure effective execution and scaling of analytics programs.” In the finish, it’s not a question of whether large data will revolutionize business plus industry. It’s a question of that the winners and losers is going to be. CIOs must take the lead within building a big data framework centered on agility, flexibility and rapid decision-making. About the Author

Samuel Greengard is a contributing writer for CIO Insight. To read his earlier CIO Insight blog post, “Chips and Tablets Don’t Digest,” click the link

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