大葉大學圖書館 |

Big data and analytics[electronic resource] :strategic and organizational impacts /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.7
書名/作者:	Big data and analytics : strategic and organizational impacts // by Vincenzo Morabito.
作者:	Morabito, Vincenzo.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxvi, 183 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Big data.
標題:	Database management.
標題:	Data mining.
標題:	Machine theory.
標題:	Economics/Management Science.
標題:	Innovation/Technology Management.
標題:	IT in Business.
標題:	Management of Computing and Information Systems.
標題:	Database Management.
ISBN:	9783319106656 (electronic bk.)
ISBN:	9783319106649 (paper)
內容註:	Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.
摘要、提要註:	This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
電子資源:	http://dx.doi.org/10.1007/978-3-319-10665-6

Big data and analytics[electronic resource] :strategic and organizational impacts /
Morabito, Vincenzo.

Big data and analyticsstrategic and organizational impacts /[electronic resource] :by Vincenzo Morabito. - Cham :Springer International Publishing :2015. - xxvi, 183 p. :ill., digital ;24 cm.

Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

ISBN: 9783319106656 (electronic bk.)

Standard No.: 10.1007/978-3-319-10665-6doiSubjects--Topical Terms:

571002
Big data.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 005.7

Big data and analytics[electronic resource] :strategic and organizational impacts /
LDR:02596nam a2200325 a 4500 001 426189
003 DE-He213
005 20150821141236.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319106656 (electronic bk.)
020 $a 9783319106649 (paper)
024 7 $a 10.1007/978-3-319-10665-6 $2 doi
035 $a 978-3-319-10665-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a KJMV6 $2 bicssc
072 7 $a PDG $2 bicssc
072 7 $a BUS087000 $2 bisacsh
082 0 4 $a 005.7 $2 23
090 $a QA76.9.D343 $b M827 2015
100 1 $a Morabito, Vincenzo. $3 605931
245 1 0 $a Big data and analytics $h [electronic resource] : $b strategic and organizational impacts / $c by Vincenzo Morabito.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxvi, 183 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.
520 $a This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
650 0 $a Big data. $3 571002
650 0 $a Database management. $3 174575
650 0 $a Data mining. $3 337740
650 0 $a Machine theory. $3 173754
650 1 4 $a Economics/Management Science. $3 463465
650 2 4 $a Innovation/Technology Management. $3 463467
650 2 4 $a IT in Business. $3 605267
650 2 4 $a Management of Computing and Information Systems. $3 466225
650 2 4 $a Database Management. $3 463966
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-10665-6
950 $a Business and Economics (Springer-11643)