高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁 到查詢結果 [ subject:"Business planning" ]

Big data, mining, and analyticscompo...

Kudyba, Stephan, (1963-)

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big data, mining, and analytics/ Stephan Kudyba ; foreword by Thomas H. Davenport.
其他題名:	components of strategic decision making /
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.) :
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"--
標題:	Strategic planning - Data processing. -
電子資源:	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 /
LDR:02462cam a2200241 a 4500 001 298101
005 20141030140028.0
006 m o d
007 cr |n|---|||||
008 161102s2014 flua ob 001 0 eng
010 $a 2013049469
020 $a 9781466568716 (electronic bk.)
020 $z 9781466568709 (hardback)
035 $a 18008812
040 $a DLC $b eng $c DLC
050 0 0 $a HD30.28 $b .B544 2014
082 0 0 $a 658.4/012 $2 23
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

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得，請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論，館方有權利刪除任何違反評論規則之發言，情節嚴重者一律停權，以維護所有讀者的自由言論空間。

Export

取書館別