Businesss Intelligence & Analytics Systems For Decision Support

Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.

The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.

Ramesh Sharda (M.B.A., Ph.D., University of Wisconsin—Madison) is Director of the PhD in Business for Executives Program and 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 at Oklahoma State University (OSU). About 200 papers describing his research have been published in major journals, including Operations Research, Management Science, Information Systems Research, Decision Support Systems, and Journal of MIS. He cofounded the AIS SIG on Decision Support Systems and Knowledge Management (SIGDSS). Dr. Sharda serves on several editorial boards, including those of INFORMS Journal on Computing, Decision Support Systems, and ACM Transactions on Management Information Systems. He has authored and edited several text and research books and serves as the co-editor of several book series (Integrated Series in Information Systems, Operations Research/Computer Science Interfaces, and Annals of Information Systems) with Springer. He is also currently serving as the Executive Director of the Teradata University Network. His current research interests are in decision support systems, business analytics, and technologies for managing information overload.

Dursun Delen (Ph.D, Oklahoma State University) is the Spears and Patterson Chairs in Business Analytics, Director of Research for the Center for Health Systems Innovation and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Prior to his academic career, he worked for a privately-owned research and consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for five years, during which he led a number of decision support and other information systems related research projects funded by federal agencies, such as DoD, NASA, NIST and DOE. Dr. Delen’s research has appeared in major journals including Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, Expert Systems with Applications, among others. He recently published four textbooks: Advanced Data Mining Techniques with Springer, 2008; Decision Support and Business Intelligence Systems with Prentice Hall, 2010; Business Intelligence: A Managerial Approach, with Prentice Hall, 2010; and Practical Text Mining, with Elsevier, 2012. He is often invited to national and international conferences for keynote addresses on topics related to Data/Text Mining, Business Intelligence, Decision Support Systems, and Knowledge Management. He served as the general co-chair for the 4th International Conference on Network Computing and Advanced Information Management (September 2-4, 2008 in Soul, South Korea), and regularly chairs tracks and mini-tracks at various information systems conferences. He is the associate editor-in-chief for International Journal of Experimental Algorithms, associate editor for International Journal of RF Technologies and Journal of Decision Analytics, and is on the editorial boards of five other technical journals. His research and teaching interests are in data and text mining, decision support systems, knowledge management, business intelligence and enterprise modeling.

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 20 books, including Electronic Commerce: A Managerial Perspective 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, social commerce and collaborative decision making.

Part I:  Decision Support and Business Intelligence

Chapter 1:  Decision Support Systems and Business Intelligence

Part II:  Computerized Decision Support

Chapter 2:  Decision Making, Systems, Modeling, and Support

Chapter 3:  Decision Support Systems Concepts, Methodologies, and Technologies:  An Overview

Chapter 4:  Modeling and Analysis

Part III:  Business Intelligence

Chapter 5:  Data Mining for Business Intelligence

Chapter 6:  Artificial Neural Networks for Data Mining

Chapter 7:  Text and Web Mining

Chapter 8:  Data Warehousing

Chapter 9:  Business Performance Management

Part IV:  Collaboration, Communication, Group Support Systems, and Knowledge Management

Chapter 10:  Collaborative Computer-Supported Technologies and Group Support Systems

Chapter 11:  Knowledge Management

Part V:  Intelligent Systems

Chapter 12:  Artificial Intelligence and Expert Systems

Chapter 13:  Advanced Intelligent Systems

Chapter 14:  Management Support Systems:  Emerging Trends and Impacts

Online Files:

Online File W2

W2.1:  The MMS Running Case

Online File W3

    W3.1:  Databases

    W3.2:  Major Capabilities of the UIMS

Online File W4

    W4.1:  Influence Diagrams

    W4.2:  Linear Programming Optimization: The Blending Problem

    W4.3:  Lindo Example: The Product-Mix Model

    W4.4:  Lingo Example:  The Product-Mix Model

    W4.5:  Links to Excel Files of Section 4.9

Online File W5

    W5.1:  CreditRisk.xlsx

    W5.2:  MovieTrain.xlsx

    W5.3:  MovieTest.xlsx

Online File W6

    W6.1:  The Forest CoverType Dataset

Online File W9

    W9.1:  Portfolio of Options

    W9.2:  Effective Performance Measurement

    W9.3:  Influence Problems with Dashboard Displays