Business intelligence strategy and big data analytics : a general management perspective / Steve Williams.

Format:

Book

Author/Creator:

Williams, Steve, author.

Language:

English

Subjects (All):

Business intelligence.

Big data.

Physical Description:

1 online resource (241 p.)

Edition:

1st edition

Place of Publication:

Amsterdam, [Netherlands] : Morgan Kaufmann, 2016.

System Details:

text file

Summary:

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. 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. 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 through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like “big data” and “big data analytics” have been introduced into the business and technical lexicon. 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. 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. 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. Provides ideas for improving the business performance of one’s company or business functions Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Contents:

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

4.5 Factoring in Big Data and Cognitive Business Opportunities

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed April 21, 2016).

ISBN:

9780128094891

0128094893

OCLC:

951425087