Business Intelligence / Edition 1

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Overview

A managerial approach to understanding business intelligence systems.

To help future managers use and understand analytics, Business Intelligence provides a solid foundation of BI that is reinforced with hands-on practice.

The second edition features updated information on data mining, text and web mining, and implementation and emerging technologies.

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Product Details

  • ISBN-13: 9780132347617
  • Publisher: Prentice Hall
  • Publication date: 4/18/2007
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 264
  • Product dimensions: 8.00 (w) x 9.91 (h) x 0.51 (d)

Meet the Author

Efraim Turban (M.B.A., Ph.D., University of California, Berkeley) is a visiting scholar at the Pacific Institute for Information System Management, University of Hawaii. Prior to this, he was on the staff of several universities, including City University of Hong Kong, Lehigh University, Florida International University, California State University, Long Beach, Eastern Illinois University, and the University of Southern California. Dr. Turban is the author of more than 100 refereed papers published in leading journals, such as Management Science, MIS Quarterly, and Decision Support Systems. He is also the author of 21 books, including Electronic Commerce: A Managerial Perspective, Decision Support Systems, and Information Technology for Management. He is also a consultant to major corporations worldwide. Dr. Turban’s current areas of interest are Web-based decision support systems, the use of intelligent agents in e-commerce systems, and collaboration issues in global e-commerce.

Jay E. Aronson (M.S., M.S., Ph.D., Carnegie Mellon University) is a professor of management information systems in the Terry College of Business at The University of Georgia. Prior to this, he was on the faculty at Southern Methodist University. Dr. Aronson is the author of about 50 refereed papers that have appeared in leading journals, including Management Science, Information Systems Research, and MIS Quarterly. He is the author of 3 books, and he has contributed to several professional encyclopedias. He is also a consultant to major international corporations and organizations. Dr. Aronson’s current areas of research include knowledge management, collaborative computing, and parallel computing.

Ramesh Sharda (M.B.A., Ph.D., University of Wisconsin—Madison) is director of the Institute for Research in Information Systems (IRIS), ConocoPhillips Chair of Management of Technology, and a Regents Professor of Management Science and Information Systems in the Spears School of Business Administration at Oklahoma State University (OSU). He started and served as the director of the M.S. in Telecommunications Management Program at OSU. More than 100 papers describing his research have been published in major journals, including Management Science, Information Systems Research, Decision Support Systems, and Journal of Management Information Systems. Dr. Sharda serves on several editorial boards, including those of INFORMS Journal on Computing, Decision Support Systems,and Information Systems Frontiers. His current research interests are in decision support systems, collaborative applications, and technologies for managing information overload. Dr. Sharda is also a co-founder of iTradeFair.com, a company that produces virtual trade fairs.

Dave King (Ph.D.), has over 25 years experience leading the development of decision support, performance management and enterprise system software. Currently, he is the Sr. VP of New Product Development at JDA Software, Inc. in Scottsdale Arizona. He joined JDA in 2004 after serving a number of years as the Sr. VP of Product Development and CTO for Comshare Inc. Dr. King has authored a number of articles and books and is the co-author of Electronic Commerce: A Managerial Perspective (Prentice-Hall). He also serves on a variety of industrial advisory and university boards including the MIS Advisory board at the University of Georgia and the Technopolis Advisory Board at Arizona State University.

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Table of Contents

Chapter 1: Introduction to Business Intelligence
Chapter 2: Data Warehousing
Chapter 3: Business Performance Management
Chapter 4: Data Mining for Business Intelligence
Chapter 5: Text and Web Mining
Chapter 6: Business Intelligence Implementation, Integration and Emerging Trends
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