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Business intelligence strategy and big data analytics : a general management perspective /
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. --
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, MA :
Morgan Kaufmann is an imprint of Elsevier,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.