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How ‘Big Data’ is Different - Harvard Business School

How Big data is DifferentFALL 2012 NUMBER 54104 Thomas H. Davenport, Paul Barth and Randy BeanPlease note that gray areas reflect artwork that has been intentionally removed. The substantive content of the ar-ticle appears as originally to you by22 MIT SLOAN MANAGEMENT REVIEW FALL [ data AND ANALYTICS]How Big data Is DifferentThese days, lots of people in Business are talking about big data . But how do the poten-tial insights from big data differ from what managers generate from traditional analytics? BY THOMAS H. DAVENPORT, PAUL BARTH AND RANDY BEANT hese days, many people in the informa-tion technology world and in corporate boardrooms are talking about big data . Many believe that, for companies that get it right, big data will be able to unleash new organizational capabilities and value.

fining the analytical models used on big data, once the models have been developed, they need to process continuing data streams quickly and accurately. The behavior of credit card companies offers a good illustration of this dynamic. In the past, direct marketing groups at credit card companies created models to select the

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