Read more
Zusatztext "The promise and potential of big data and smart analysis are realized in better decisions and stronger business results. But good ideas rarely implement themselves! and often the heavy hand of history means that bad practices and outdated processes tend to persist. Even in organizations that pride themselves on having a vibrant marketplace of ideas! converting data and insights into better business outcomes is a pressing and strategic challenge for senior executives. ... 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 Informationen zum Autor Dr. Jay Liebowitz is the Orkand Endowed Chair of Management and Technology, the only endowed chair at the University of Maryland University College. He previously served as a full professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management (KM) researchers/practitioners out of 11,000 worldwide and was ranked number two worldwide in KM strategy according to the January 2010 Journal of Knowledge Management . He is a prolific author, Fulbright Scholar, Computer Educator of the Year (IACIS), IEEE Executive Fellow, and the founder and editor-in-chief of Expert Systems with Applications: An International Journal . His most recent books are: Knowledge Management Handbook: Collaboration and Social Networking, Second Edition Beyond Knowledge Management: What Every Leader Should Know Knowledge Management in Public Health Knowledge Management and E-Learning Knowledge Retention: Strategies and Solutions Klappentext With the increasing barrage of big data, it becomes vital for organizations to make sense of this data in a timely and effective way to improve their decision making and competitive advantage. That's where business analytics come into play. This book explores case studies from industry leaders in big data domains such as cybersecurity, marketing, finance, emergency management, healthcare, and transportation. It offers a concise guide for CEOs and senior managers, as well as for business, management, and technology students interested in this emerging field. Zusammenfassung "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...
