4.5 Factoring in Big Data and Cognitive Business Opportunities.4.4 Using Structured Interviews to Discover BIOs.

4.3 Using Strategy Maps to Discover Bios.

4.1 BI Opportunity Analysis Provides the Economic Rationale for BI.

3.4 Skill Development Opportunity: The Strategic Importance of BI.

3.2 How BI Enhances Business Processes and Business Performance.

The Strategic Importance of Business Intelligence

2.7 Summary-Industry Views of BI Success.

2.6 Beyond the Hype-What BI Success Looks Like.

2.5 BI and Analytics-Is There a Difference?.

2.4 A Business View of Cognitive Business.

2.2 The Hype Around BI, Big Data, Analytics, and Cognitive Business.

2.1 Getting Clear About Terminology-Business Definitions of Business Intelligence and Related Terms.

Business Intelligence in the Era of Big Data and Cognitive Business

1.6 Questions to Consider for Your Company or Function.

1.5 Lessons Learned for BI Strategy-BBF BI Progress.

1.4 Generalizing from the BBF Case-BI Applications for Manufacturers.

1.3 The BBF BI Vision and BI Opportunity Portfolio & Business Case.

The Personal Face of Business Intelligence

The Challenge of Formulating Business Intelligence Strategy.

Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans.

Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies.Provides ideas for improving the business performance of oneРІР‚в„ўs company or business functions.More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate.

Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. In recent years, terms like РІР‚Сљbig dataР’вЂќ and РІР‚Сљbig data analyticsР’вЂќ have been introduced into the business and technical lexicon. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability.

Business intelligence strategy bool