In its just-published Hype Cycle for Cloud Computing 2012, Gartner predicts that “Big Data will deliver transformational benefits to enterprises within 2 to 5 years, and by 2015 will enable enterprises adopting this technology to outperform competitors by 20% in every available financial metric.” The “transformational benefits,” however, will be delivered to very few enterprises according to another Gartner prediction, from December 2011: “Through 2015, more than 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage.”
Gartner currently positions Big Data just below “the peak of inflated expectations.”
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We’ve seen that alot of companies can’t exploit big data because they don’t know what it is. SAS has been working with big data for over 35 years and recently launched an informational page about “big data” that might be relevant for your readers. The page answers the overarching question of “What is big data?” with definitions, contributing factors, customer examples and more. As a leader on this topic, we are attempting to provide more basic information that is custom-tailored to Web visitors who are just starting to research big data. If you’re interested, check it out at http://www.sas.com/big-data.
I invite to read http://punto-informatico.it/3579136/PI/News/wozniak-cloud-orribile.aspx
Also, Big Data is a moving target. There are many different types of Big Data, with some categories more likely to provide value than others. A blanket “20%” improvement ignores the complexity of aligning different Big Data approaches to business value. At Nucleus Research, we’ve taken the next step and asked if we’re we talking about Expanding Big Data? Messy Big Data? Easy Big Data? http://www.channelpartnersonline.com/articles/2012/07/big-data-is-the-new-cloud.aspx
Till the time companies are able to survive with social networking stuff and carry-on with the setup the life of big data will be in demand. The real thing that we all need to ponder is what is the revenue model for social networking companies like twitter,facebook,etc.
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