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Big data, mining, and analytics[electronic resource] :components of strategic decision making /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.4/012
書名/作者:	Big data, mining, and analytics : components of strategic decision making // Stephan Kudyba ; foreword by Thomas H. Davenport.
其他作者:	Kudyba, Stephan,
出版者:	Boca Raton : : Taylor & Francis,, 2014.
面頁冊數:	1 online resource (xv, 305 p.) : : ill. (some col.)
標題:	Big data.
標題:	Business planning - Data processing.
標題:	Webometrics.
標題:	Data loggers.
標題:	Strategic planning - Data processing.
標題:	Data mining.
ISBN:	9781466568716 (electronic bk.)
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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"--
電子資源:	http://www.crcnetbase.com/isbn/9781466568716

Big data, mining, and analytics[electronic resource] :components of strategic decision making /
Big data, mining, and analyticscomponents of strategic decision making /[electronic resource] :Stephan Kudyba ; foreword by Thomas H. Davenport. - Boca Raton :Taylor & Francis,2014. - 1 online resource (xv, 305 p.) :ill. (some col.)

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"--

ISBN: 9781466568716 (electronic bk.)

LCCN: 2013049469Subjects--Topical Terms:

571002
Big data.

LC Class. No.: HD30.28 / .B544 2014

Dewey Class. No.: 658.4/012

Big data, mining, and analytics[electronic resource] :components of strategic decision making /
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245 0 0 $a Big data, mining, and analytics $h [electronic resource] : $b components of strategic decision making / $c Stephan Kudyba ; foreword by Thomas H. Davenport.
260 $a Boca Raton : $b Taylor & Francis, $c 2014.
300 $a 1 online resource (xv, 305 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Big data. $3 571002
650 0 $a Business planning $x Data processing. $3 577965
650 0 $a Webometrics. $3 577178
650 0 $a Data loggers. $3 657114
650 0 $a Strategic planning $x Data processing. $3 342593
650 0 $a Data mining. $3 337740
700 1 $a Kudyba, Stephan, $d 1963- $3 657113
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