Big.Data.and.Business.Analytics.1466565780

时间:2018-11-01 10:54:38
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文件名称:Big.Data.and.Business.Analytics.1466565780
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更新时间:2018-11-01 10:54:38
Big Data Business Analytics "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 Table of Contents 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 Analytics: Patterns and Cases in Online Marketing Chapter 4 - The Intrinsic Value of Data Chapter 5 - Finding Big Value in Big Data: Unlocking the Power of High-­Performance Analytics Chapter 6 - Competitors, Intelligence, and Big Data Chapter 7 - Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records Chapter 8 - Innovation Patterns and Big Data Chapter 9 - Big Data at the U.S. Department of Transportation Chapter 10 - Putting Big Data at the Heart of the Decision-­Making Process Chapter 11 - Extracting Useful Information from Multivariate Temporal Data Chapter 12 - Large-­Scale Time-­Series Forecasting Chapter 13 - Using Big Data and Analytics to Unlock Generosity Chapter 14 - The Use of Big Data in Healthcare Chapter 15 - Big Data: Structured and Unstructured

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