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.
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:
"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history means that bad practices and outdated processes tend to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
"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
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