Business Intelligence Strategy and Big Data Analytics

A General Management Perspective

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, General Computing
Cover of the book Business Intelligence Strategy and Big Data Analytics by Steve Williams, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Steve Williams ISBN: 9780128094891
Publisher: Elsevier Science Publication: April 8, 2016
Imprint: Morgan Kaufmann Language: English
Author: Steve Williams
ISBN: 9780128094891
Publisher: Elsevier Science
Publication: April 8, 2016
Imprint: Morgan Kaufmann
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Thermal System Design and Simulation by Steve Williams
Cover of the book Bacteriophages, Part A by Steve Williams
Cover of the book Laser Surface Modification of Biomaterials by Steve Williams
Cover of the book Current Approaches to Occupational Health by Steve Williams
Cover of the book Traveling Wave Analysis of Partial Differential Equations by Steve Williams
Cover of the book Digital Video and DSP: Instant Access by Steve Williams
Cover of the book Intel Xeon Phi Coprocessor High Performance Programming by Steve Williams
Cover of the book Molecular Biology of RGS Proteins by Steve Williams
Cover of the book DNA Replication Across Taxa by Steve Williams
Cover of the book Food, Energy, and Water by Steve Williams
Cover of the book Evolutionary Criminology by Steve Williams
Cover of the book Genomes and Evolution of Charophytes, Bryophytes, Lycophytes and Ferns by Steve Williams
Cover of the book An Outline of Ophthalmology by Steve Williams
Cover of the book Advances in Cancer Research by Steve Williams
Cover of the book High Resolution NMR Spectroscopy: Understanding Molecules and their Electronic Structures by Steve Williams
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy