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Big data, mining, and analyticscomponents of strategic decision making /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big data, mining, and analytics/ Stephan Kudyba ; foreword by Thomas H. Davenport.
Reminder of title:	components of strategic decision making /
other author:	Kudyba, Stephan,
Published:	Boca Raton :Taylor & Francis, : 2014.,
Description:	1 online resource (xv, 305 p.) :ill. (some col.) :
基督教聖經之智慧書導讀 :	"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"--
Subject:	Strategic planning - Data processing. -
Online resource:	http://www.crcnetbase.com/isbn/9781466568716
ISBN:	9781466568716 (electronic bk.)

Big data, mining, and analyticscomponents 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:

404865
Strategic planning
--Data processing.

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

Dewey Class. No.: 658.4/012

Big data, mining, and analyticscomponents 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 Strategic planning $x Data processing. $3 404865
650 0 $2 96060 $a Data mining. $3 255525
650 0 $a Big data. $3 387512
650 0 $a Business planning $x Data processing. $3 404866
650 0 $a Webometrics. $3 404867
650 0 $a Data loggers. $3 404868
700 1 $a Kudyba, Stephan, $d 1963- $3 404864
856 4 0 $u http://www.crcnetbase.com/isbn/9781466568716