"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
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