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Business Intelligence Strategy and Big Data Analytics: A General Management Perspective [Pehme köide]

3.87/5 (27 hinnangut Goodreads-ist)
(Founder and CEO of DecisionPath Consulting, specializing formulating business-driven, technically-savvy strategies for leveraging business intelligence, analytics, and big data to improve profits. Maryland, USA)
  • Formaat: Paperback / softback, 240 pages, kõrgus x laius: 229x152 mm, kaal: 390 g
  • Ilmumisaeg: 07-Apr-2016
  • Kirjastus: Morgan Kaufmann Publishers In
  • ISBN-10: 0128091983
  • ISBN-13: 9780128091982
Teised raamatud teemal:
Business Intelligence Strategy and Big Data Analytics: A General Management PerspectiveSuurem pilt
  • Formaat: Paperback / softback, 240 pages, kõrgus x laius: 229x152 mm, kaal: 390 g
  • Ilmumisaeg: 07-Apr-2016
  • Kirjastus: Morgan Kaufmann Publishers In
  • ISBN-10: 0128091983
  • ISBN-13: 9780128091982
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780128091982.html
Märksõnad:
Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-encountered barriers to success. It includes lessons learned from leading companies that provide practical ideas for how to use the many different forms of BI to meet key business objectives. Further, it clarifies how BI initiatives are really business initiatives that require business units to change how they use information and analysis to drive and improve business results, particularly profits.Business intelligence (BI) and business analytics are like a Swiss army knife—they can be used in many different ways to achieve many different business purposes. In working with leading companies in a wide range of industries to help them formulate and execute BI strategies and program plans, the author has seen firsthand that these successful companies struggle in two key areas: BI Strategy, which is understanding how they can leverage BI in core business functions such as marketing, sales, customer service, operations, distribution, supplier management, cost improvement, and financial management; and BI Program Execution, which is effectively aligning and executing the diverse workstreams that are critical for achieving a return on investment (ROI), including change management, business process and BI integration, and BI and data warehousing development.Provides ideas for improving the business performance of one’s company or business functionsEmphasizes proven, practical, step-by-step methods that readers can readily apply in their companiesIncludes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Arvustused

"Most executives are familiar with big data, business intelligence (BI), analytics, business performance management, business process management, and fact-based decision-making, but they are uncertain about how to best deploy them to create business value. In this book you will find both content and features that will help you plan and execute BI strategically.

Worthy of special mention is the treatment of big data and analytics. The hype around both topics is especially high, and it is easy to think that they are so new and different that they need to be treated in special ways. This book provides a clear understanding of the ways that big data and analytics both differ from the past but also the many ways that they are just a logical extension of what has come before. When viewed in this context, the strategic planning for BI and analytics in the world of big data is very similar to planning for BI in general.

If you need to think about BI (and all the related topics) strategically in your company, Im confident that you will find this book to be very helpful." --Hugh Watson, Professor and C. Herman and Mary Virginia Terry Chair of Business Administration, Terry College of Business, University of Georgia and Senior Editor, Business Intelligence Journal

Muu info

Cuts through hype and confusion about big data and analytics to implement BI for specific business functions
About the Author ix
Foreword xi
Acknowledgments xv
Introduction xvii
Chapter 1 The Personal Face of Business Intelligence
1(26)
1.1 BI Case Study Setting
1(1)
1.2 BBF BI Opportunities
2(13)
1.3 The BBF BI Vision and BI Opportunity Portfolio & Business Case
15(5)
1.4 Generalizing From the BBF Case---BI Applications for Manufacturers
20(3)
1.5 Lessons Learned for BI Strategy---BBF BI Progress
23(2)
1.6 Questions to Consider for Your Company or Function
25(2)
Chapter 2 Business Intelligence in the Era of Big Data and Cognitive Business
27(24)
2.1 Getting Clear About Terminology---Business Definitions of Business Intelligence and Related Terms
28(2)
2.2 The Hype Around BI, Big Data, Analytics, and Cognitive Business
30(3)
2.3 A Business View of Big Data
33(2)
2.4 A Business View of Cognitive Business
35(2)
2.5 BI and Analytics---Is There a Difference?
37(2)
2.6 Beyond the Hype---What BI Success Looks Like
39(8)
2.7 Summary---Industry Views of BI Success
47(2)
2.8 Recap of Some Key Points
49(2)
Chapter 3 The Strategic Importance of Business Intelligence
51(18)
3.1 A Business View of BI
52(4)
3.2 How BI Enhances Business Processes and Business Performance
56(6)
3.3 The Strategic Importance of BI
62(4)
3.4 Skill Development Opportunity: The Strategic Importance of BI
66(1)
3.5 Summary of Some Key Points
67(2)
Chapter 4 BI Opportunity Analysis
69(18)
4.1 BI Opportunity Analysis Provides the Economic Rationale for BI
69(3)
4.2 Top-Down BI Opportunity Analysis
72(3)
4.3 Using Strategy Maps to Discover BIOs
75(3)
4.4 Using Structured Interviews to Discover BIOs
78(1)
4.5 Factoring in Big Data and Cognitive Business Opportunities
79(3)
4.6 Documenting BIOs
82(1)
4.7 Skill Improvement Opportunity: Discovering BIOs and Mapping to BI Styles
83(2)
4.8 Summary of Some Key Points
85(2)
Chapter 5 Prioritizing BI Opportunities (BIOs)
87(12)
5.1 BI Portfolio Planning and the BI Portfolio Map
87(3)
5.2 Factors to Consider When Prioritizing BIOs
90(1)
5.3 Approaches to Prioritizing BIOs
91(4)
5.4 Skill Development Opportunity: Develop and Justify a BI Portfolio Map
95(3)
5.5 Summary of Some Key Points
98(1)
Chapter 6 Leveraging BI for Performance Management, Process Improvement, and Decision Support
99(52)
6.1 BI as a Key Enabler of BPM
100(19)
6.2 BI as a Key Enabler of Business Process Improvement
119(22)
6.3 BI as a Key Enabler of High-Impact Business Decisions
141(6)
6.4 Skill Development Opportunity
147(2)
6.5 Summary of Some Key Points
149(2)
Chapter 7 Meeting the Challenges of Enterprise BI
151(34)
7.1 A General Management View About BI Success
152(9)
7.2 Challenges for BI Success
161(14)
7.3 Organizational Design for BI Success
175(7)
7.4 Skill Development Opportunity: Assess BI Challenges, Risks, and Barriers
182(1)
7.5 Summary of Some Key Points
183(2)
Chapter 8 General Management Perspectives on Technical Topics
185(24)
8.1 The Technical Landscape for BI Program Execution
185(4)
8.2 Technical Infrastructure for BI
189(10)
8.3 Data Infrastructure for BI
199(6)
8.4 BI and the Cloud
205(3)
8.5 Summary
208(1)
Bibliography 209(2)
Index 211
Steve Williams is the founder and CEO of DecisionPath Consulting. He specializes in helping clients formulate business-driven, technically-savvy strategies for leveraging business intelligence, analytics, and big data to improve profits. Steve blends general management experience and a general management MBA with nearly 30 years experience in the information systems field - the last fifteen of which have been spent in the business intelligence (BI) and analytics specialty. As a BI strategy consultant, Steve has had the privilege of working with successful companies in retail, distribution, manufacturing, consumer packaged goods, government, and electric power. His clients have included: ArcBest Heinens Fine Foods Louisville Gas and Electric Navy Federal Credit Union Northwestern Mutual Life Partners Federal Credit Union Pinnacle Foods Group Principal Financial Group Toronto Hydro Electric System United Natural Foods U.S. Social Security Administration Watsco While the industries and companies are different, there are many common challenges when it comes to leveraging BI, analytics, and big data to enhance profitability. Steve understands these challenges, and he provides proven methods for meeting them. In addition to his consulting work, Steve is also an active contributor to the field of business intelligence, analytics, and big data. He and Nancy Williams wrote The Profit Impact of Business Intelligence in 2006, and Steve has continued to write for magazines such as Strategic Finance, Business Intelligence Journal, and MWorld (The Journal of the American Management Association). In addition to widely-sharing his thinking about BI, analytics, and big data, Steve has also served as a judge since 2001 for the annual TDWI Best Practices in Business Intelligence and Data Warehousing Competition. Prior to founding DecisionPath, Steve worked for twenty years in several specialized consulting companies where he developed expertise in program management, systems integration, software engineering, and management accounting. He holds an MBA in General Management from the Darden School at the University of Virginia and a B.S. in Business Management from the University of Maryland.