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"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.’" ―From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive. Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Understand the trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage. Author Jay Liebowitz recently had an article published in The World Financial Review. www.worldfinancialreview.com/?p=1904 "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.’" ―From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. **Big Data and Business Analytics** helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive. Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. * Understand the trends, potential, and challenges associated with big data and business analytics * Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues * Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage. Author Jay Liebowitz recently had an article published in __The World Financial Review.__ Architecting The Enterprise Via Big Data Analytics / Joseph Betser And David Belanger -- Jack And The Big Data Beanstalk: Capitalizing On A Growing Marketing Opportunity / Tim Suther, Bill Burkart, And Jie Cheng -- Frontiers Of Big Data Business Analytics: Patterns And Cases In Online Marketing / Daqing Zhao -- The Intrinsic Value Of Data / Omer Trajman -- Finding Big Value In Big Data: Unlocking The Power Of High-performance Analytics / Paul Kent, Radhika Kulkarni, And Udo Sglavo -- Competitors, Intelligence, And Big Data / G. Scott Erickson And Helen N. Rothberg -- Saving Lives With Big Data: Unlocking The Hidden Potential In Electronic Health Records / Juergen Klenk, Yugal Sharma, And Jeni Fan -- Innovation Patterns And Big Data / Daniel Conway And Diego Klabjan -- Big Data At The U.s. Department Of Transportation / Daniel Pitton -- Putting Big Data At The Heart Of The Decision-making Process / Ian Thomas -- Extracting Useful Information From Multivariate Temporal Data / Artur Dubrawski -- Large-scale Time-series Forecasting / Murray Stokely, Farzan Rohani, And Eric Tassone -- Using Big Data And Analytics To Unlock Generosity / Mike Bugembe -- The Use Of Big Data In Healthcare / Katherine Marconi, Matt Dobra, And Charles Thompson -- Big Data: Structured And Unstructured / Arun K. Majumdar And John F. Sowa. Edited By Jay Liebowitz ; Foreword By Joe Lacugna, Phd, Starbucks Coffee Company. Includes Bibliographical References And Index. "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to do this, avoid that." From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. Thats where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive. Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage. Author Jay Liebowitz recently had an article published in The World Financial Review. (http://www.worldfinancialreview.com/?p=1904) www.worldfinancialreview.com/?p=1904 "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 productive and experience higher returns on equity than their competitors who don't. Thus, big data problems and business analytics will be areas of growing interest in the years ahead, especially for addressing organizational, national, and societal issues. Big Data and Business Analytics consists of case studies in "big data" domains including cybersecurity, finance, emergency management, healthcare, and international development. It is an easy-read for CEOs and senior managers who need to quickly grasp the key factors and trends to make their organizations more competitive. Business, management, and technology educators will also find this book to be helpful in their courses. The book contains case studies from Fortune 100 companies and U.S. Government agencies."--EBL web site