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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
Inhaltsangabe
Architecting the Enterprise via Big Data Analytics. Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity. Frontiers of Big Data Business Analytics: Patterns and Cases in Online Marketing. The Intrinsic Value of Data. Finding Big Value in Big Data: Unlocking the Power of High-Performance Analytics. Competitors, Intelligence, and Big Data. Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records. Innovation Patterns and Big Data. Big Data at the U.S. Department of Transportation. Putting Big Data at the Heart of the Decision-Making Process. Extracting Useful Information from Multivariate Temporal Data. Large-Scale Time-Series Forecasting. Using Big Data and Analytics to Unlock Generosity. The Use of Big Data in Healthcare. Big Data: Structured and Unstructured. Index.
Architecting the Enterprise via Big Data Analytics. Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity. Frontiers of Big Data Business Analytics: Patterns and Cases in Online Marketing. The Intrinsic Value of Data. Finding Big Value in Big Data: Unlocking the Power of High-Performance Analytics. Competitors, Intelligence, and Big Data. Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records. Innovation Patterns and Big Data. Big Data at the U.S. Department of Transportation. Putting Big Data at the Heart of the Decision-Making Process. Extracting Useful Information from Multivariate Temporal Data. Large-Scale Time-Series Forecasting. Using Big Data and Analytics to Unlock Generosity. The Use of Big Data in Healthcare. Big Data: Structured and Unstructured. Index.
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