This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to st…
This book is about Business Analytics (BA)--an emerging area in modern business decision making. The first part provides an overview of the field of Business Intelligence (BI) that looks into historical data to better understand business performance thereby improving performance…
This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with…
by Liebowitz, Jay, LaCugna, Joseph
fromITPro collection
"Industry reports indicate that by 2018, there will be a shortage of up to 180,000 analysts in the U.S. for examining "big data" problems. At the same time, emerging academic research shows that organizations who use business analytics to guide their decision making are more pro…
Front Cover; Contents; Foreword; Preface; About the Editor; Contributors; Chapter 1 - Architecting the Enterprise via Big Data Analytics; Chapter 2 - Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity; Chapter 3 - Frontiers of Big Data Business Anal…
""The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to 'do this, avoid that.'""--The Foreword by Joe LaCugna, Ph. D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrag…
