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20231120112102.0 |
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160413s2016 mau ob 001 0 eng d |
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|a YDXCP
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|a 946705989
|a 951425087
|a 1105173486
|a 1105572399
|a 1162032434
|a 1229875726
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|a 9780128094891
|q (electronic bk.)
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|a 0128094893
|q (electronic bk.)
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|z 0128091983
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|z 9780128091982
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|a (OCoLC)946606226
|z (OCoLC)946705989
|z (OCoLC)951425087
|z (OCoLC)1105173486
|z (OCoLC)1105572399
|z (OCoLC)1162032434
|z (OCoLC)1229875726
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050 |
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4 |
|a HD38.7
|b .W53 2016eb
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072 |
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7 |
|a BUS
|x 082000
|2 bisacsh
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072 |
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7 |
|a BUS
|x 041000
|2 bisacsh
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072 |
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|a BUS
|x 042000
|2 bisacsh
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|a BUS
|x 085000
|2 bisacsh
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0 |
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|a 658.472
|2 23
|
100 |
1 |
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|a Williams, Steve,
|e author.
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245 |
1 |
0 |
|a Business intelligence strategy and big data analytics :
|b a general management perspective /
|c Steve Williams.
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264 |
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1 |
|a Cambridge, MA :
|b Morgan Kaufmann is an imprint of Elsevier,
|c 2016.
|
264 |
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4 |
|c �2016
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300 |
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|a 1 online resource
|
336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
|
504 |
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|a Includes bibliographical references and index.
|
520 |
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|a Includes exercises and case studies with road-tested advice, this book provides ideas for improving the business performance of one's company or business functions, and emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies. --
|c Edited summary from book.
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505 |
0 |
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|a Front Cover; Business Intelligence Strategy and Big Data Analytics; Copyright Page; Contents; About the Author; Foreword; Acknowledgments; Introduction; The Challenge of Formulating Business Intelligence Strategy; Overview of the Book; Organization of the Book; Closing the Loop; 1 The Personal Face of Business Intelligence; 1.1 BI Case Study Setting; 1.1.1 Industry Setting; 1.1.2 Company Situation; 1.2 BBF BI Opportunities; 1.2.1 The CEO's View of Business Challenges and BIOs; 1.2.2 The Chief Operating Officer's View of Business Challenges and BIOs.
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505 |
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|a 1.2.3 The Chief Marketing Officer's View of Business Challenges and BIOs1.2.4 The Chief Sales Officer's View of Business Challenges and BIOs; 1.2.5 The Chief Financial Officer's View of Business Challenges and BIOs; 1.2.6 The CIO's View of Business Challenges and BIOs; 1.3 The BBF BI Vision and BI Opportunity Portfolio & Business Case; 1.3.1 The BBF BI Vision; 1.3.2 The BBF BIO Portfolio; 1.4 Generalizing From the BBF Case-BI Applications for Manufacturers; 1.5 Lessons Learned for BI Strategy-BBF BI Progress; 1.5.1 Lesson 1-Lack of Understanding of BI Makes the Value Hard to Determine.
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505 |
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|a 1.5.2 Lesson 2-The Mission and Importance of BI Is Not Clear1.5.3 Lesson 3-No Sense of Urgency Among Upper Management; 1.6 Questions to Consider for Your Company or Function; 2 Business Intelligence in the Era of Big Data and Cognitive Business; 2.1 Getting Clear About Terminology-Business Definitions of Business Intelligence and Related Terms; 2.2 The Hype Around BI, Big Data, Analytics, and Cognitive Business; 2.3 A Business View of Big Data; 2.4 A Business View of Cognitive Business; 2.5 BI and Analytics-Is There a Difference?; 2.6 Beyond the Hype-What BI Success Looks Like.
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|a 2.6.1 Industry Views of BI Success2.7 Summary-Industry Views of BI Success; 2.7.1 Job Function Views of BI Success; 2.8 Recap of Some Key Points; 3 The Strategic Importance of Business Intelligence; 3.1 A Business View of BI; 3.1.1 Styles of BI; 3.1.2 An Effective BI Environment Provides Integrated Operational and Financial Views of Facts About Business Performance; 3.2 How BI Enhances Business Processes and Business Performance; 3.2.1 Review of Business Processes Improvement Thinking; 3.2.2 Decision-Making Can Be a BI-Enabled, Defined Business Process; 3.3 The Strategic Importance of BI.
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|a 3.3.1 Some Examples of the Strategic Importance of BI3.3.1.1 Financial Services Industry; 3.3.1.2 Grocery Stores; 3.3.1.3 Government Agencies; 3.3.1.4 Manufacturers; 3.4 Skill Development Opportunity: The Strategic Importance of BI; 3.4.1 Objectives; 3.5 Summary of Some Key Points; 4 BI Opportunity Analysis; 4.1 BI Opportunity Analysis Provides the Economic Rationale for BI; 4.2 Top-Down BI Opportunity Analysis; 4.3 Using Strategy Maps to Discover Bios; 4.4 Using Structured Interviews to Discover BIOs; 4.4.1 Typical "Conversation Starters" for Structured Interviews.
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650 |
|
0 |
|a Business intelligence.
|
650 |
|
0 |
|a Big data.
|
650 |
|
6 |
|a Donn�ees volumineuses.
|0 (CaQQLa)000284673
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Industrial Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management Science.
|2 bisacsh
|
650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Organizational Behavior.
|2 bisacsh
|
650 |
|
7 |
|a Big data
|2 fast
|0 (OCoLC)fst01892965
|
650 |
|
7 |
|a Business intelligence
|2 fast
|0 (OCoLC)fst00842723
|
650 |
1 |
7 |
|a Informatiemanagement.
|2 gtt
|0 (NL-LeOCL)093375972
|
776 |
0 |
8 |
|i Print version:
|z 0128091983
|z 9780128091982
|w (OCoLC)942707468
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128091982
|z Texto completo
|