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Big data, mining, and analytics : components of strategic decision making /

by Kudyba, Stephan [editor of compilation.].
Material type: materialTypeLabelBookDescription: xv, 305 pages : illustrations (some color) ; 25 cm.ISBN: 9781466568709 (hardback); 1466568704 (hardback).Subject(s): Strategic planning -- Data processing | Data mining | Big data | Business planning -- Data processing | Webometrics | Data loggers | COMPUTERS / Database Management / General | COMPUTERS / Database Management / Data Mining | COMPUTERS / Information TechnologyOnline resources: Cover image Summary: "Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet--which leads to another vast data source. When all these bits are combined with those from other media--wireless and wired telephony, cable, satellite, and so forth--the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context"-- Provided by publisher.
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Sala B : Armadio PON SNIFF Corso di formazione PON SNIFF 658.4012 K958 (Browse shelf) Available
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628.530287 F9115 Emissions of air pollutants : 628.530287 S6837 Urban air quality : 628.53091732 H588 Air quality in urban environments / 658.4012 K958 Big data, mining, and analytics : 658.872 R2368 Statistical and machine-learning data mining : 670.28551 G324 Genetic algorithms and engineering optimization / 681.2 F8287 Understanding smart sensors /

Includes bibliographical references and index.

"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet--which leads to another vast data source. When all these bits are combined with those from other media--wireless and wired telephony, cable, satellite, and so forth--the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context"-- Provided by publisher.