Big Data and Business Analytics
商品資訊
ISBN13：9781466565784
出版社：Taylor & Francis
作者：Jay Liebowitz (EDT)
出版日：2013/04/23
裝訂／頁數：精裝／224頁
規格：24.1cm*16.5cm*2.5cm (高/寬/厚)
商品簡介
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.
作者簡介
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
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