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Decision Support and Business Intelligence Systems: United States Edition(English)

Decision Support and Business Intelligence Systems: United States Edition(English)

          
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About the Book

Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems.   Decision Support and Business Intelligence Systems 8e 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. This completely revised and re-titled edition incorporates the expanded coverage of Business Intelligence and reflects  the emphasis that most decision support courses are now taking.

Table of Contents:
Part I: Decision Support and Business Intelligence 1. Decision Support Systems and Business Intelligence 1.1 Opening Vignette: Toyota Uses Business Intelligence to Excel 1.2 Changing Business Environments and Computerized Decision Support 1.3 Managerial Decision Making 1.4 Computerized Support for Decision Making 1.5 An Early Framework for Computerized Decision Support 1.6 The Concept of Decision Support Systems (DSS) 1.7 A Framework for Business Intelligence (BI) 1.8 A Work System View of Decision Support 1.9 The Major Tools and Techniques of Managerial Decision Support 1.10 Implementing Computer-Based Managerial Decision Support Systems 1.11 Plan of the Book 1.12 Resources, Links, and the Teradata University Network Connection   Part II: Computerized Decision Support 2. Decision Making, Systems, Modeling, and Support 2.1Opening Vignette: Decision Making at the U.S. Federal Reserve 2.2 Decision Making: Introduction and Definitions 2.3 Models 2.4 Phases of the Decision Making Process 2.5 Decision Making: The Intelligence Phase 2.6 Decision Making: The Design Phase 2.7 Decision Making: The Choice Phase 2.8 Decision Making: The Implementation Phase 2.9 How Decisions are Supported 2.10 Resources, Links, and the Teradata University Network Connection   3. Decision Support Systems Concepts, Methodologies, and Technologies: An Overview 3.1 Opening Vignette: Decision Support System Cures for Healthcare 3.2 DSS Configurations 3.3 DSS Description 3.4 DSS Characteristics and Capabilities 3.5 Components of DSS 3.6 The Data Management Subsystem 3.7 The Model Management Subsystem 3.8 The User Interface (Dialog) Subsystem 3.9 The Knowledge-Based Management Subsystem 3.10 The User 3.11 DSS Hardware 3.12 DSS Classifications   4. Modeling and Analysis 4.1 Opening Vignette: "Winning Isn't Everything... But Losing Isn't Anything:" Professional Sports Modeling for Decision Making 4.2 MSS Modeling 4.3 Static and Dynamic Models 4.4 Certainty, Uncertainty, and Risk 4.5 MSS Modeling with Spreadsheets 4.6 Decision Analysis with Decision Tables and Decision Trees 4.7 The Structure of Mathematical Models for Decision Support 4.8 Mathematical Programming Optimization 4.9 Multiple Goals, Sensitivity Analysis, What-IF, and Goal Seeking 4.10 Problem Solving Search Methods 4.11 Simulation 4.12 Visual Interactive Simulation 4.13 Quantitative Software Packages and Model Base Management 4.14 Resources, Links, and the Teradata University Network Connection   Part III: Business Intelligence Special Introductory Section: The Essentials of Business Intelligence 1.1 A Preview of the Content of Chapters 5-9 S.2 The Origins and Drivers of Business Intelligence S.3 The General Process of Intelligence Creation and Use S.4 The Major Characteristics of Business Intelligence S.5 Towards Competitive Intelligence and Advantage S.6 The Typical Data Warehouse and BI User Community S.7 Successful BI Implementation S.8 Structure and Components of BI S.9 Conclusion: Today and Tomorrow   5. Data Warehousing 5.1 Opening Vignette: Continental Airlines Flies High with Its Real-Time Data Warehouse 5.2 Data Warehousing Definitions and Concepts 5.3 Data Warehousing Process Overview 5.4 Data Warehousing Architectures 5.5 Data Integration, and the Extraction, Transformation, and Load (ETL) Process 5.6 Data Warehouse Development 5.7 Real-Time Data Warehouses 5.8 Data Warehouse Administration and Security Issues   6. Business Analytics and Data Visualization 6.1 Opening Vignette: Lexmark International Improves Operations with BI 6.2 The Business Analytics Field-An Overview 6.3 Online Analytical Processing (OLAP) 6.4 Reporting and Queries 6.5 Multidimensionality 6.6 Advanced Business Analytics 6.7 Data Visualization 6.8 Geographic Information Systems 6.9 Real-Time Business Intelligence, Automated Decision Support, and Competitive Intelligence 6.10 Business Analytics and the Web: Web Intelligence and Web Analytics 6.11 Usage, Benefits, and Success of Business Analytics   7. Data, Text, and Web Mining 7.1 Opening Vignette: Highmark, Inc. 7.2 Data Mining Concepts and Applications 7.3 Data Mining Techniques and Tools 7.4 Data Mining Project Process 7.5 Text Mining 7.6 Web Mining   8. Neural Networks for Data Mining 8.1 Opening Vignette: Using Neural Networks to Predict Beer Flavors From Chemical Analysis 8.2 Basic Concepts of Neural Networks 8.3 Learning in Artificial Neural Networks 8.4 Developing Neural Network Systems 8.5 A Sample Neural Network Project 8.6 Other Neural Networks Paradigms 8.7 Applications of Neural Networks 8.8 A Neural Network Software Demonstration   9. Business Performance Management 9.1 Opening Vignette: Cisco and the Virtual Close 9.2 Business Performance Management Overview 9.3 Strategize: Where Do We Want to Go? 9.4 Plan: How Do We Get There? 9.5 Monitor: How are We Doing? 9.6 Act and Adjust: What Do We Need to Do Differently? 9.7 Performance Measurement 9.8 Bpm Methodologies 9.9 Bpm Architecture and Applications 9.10  Performance Dashboards 9.11 Business Activity Monitoring (BAM)   Part IV: Collaboration, Communication, Group Support Systems, and Knowledge Management 10. Collaborative Computing-Supported Technologies and Group Support Systems 10.1 Opening Vignette: Collaborative Design at Boein-Rocketdyne 10.2 Making Decisions in Groups: Characteristics, Process, Benefits, and Dysfunctions 10.3 Supporting Groupwork with Computerized Systems 10.4 Tools for Indirect Support of Decision Making 10.5 Integrated Groupware Suites 10.6 Direct Computerized Support for Decision Making: From GDSS to GSS 10.7 Products and Tools for GDSS/GSS and Successful Implementation 10.8 Emerging Collaboration Support Tools: From VoIP to Wikis 10.9 Collaborative Efforts in Planning, Design, and the Project Management 10.10 Creativity, Idea Generation and Computerized Support   11. Knowledge Management 11.1 Opening Vignette: Simens Knows What It Knows through Knowledge Management 11.2 Introduction to Knowledge Management 11.3 Organizational Learning and Transformation 11.4 Knowlege Management Activities 11.5 Approached to Knowledge Management 11.6 Information Technology in Knowledge Management 11.7 Knowledge Management Systems Implementation 11.8 Roles of People in Knowledge Management 11.9 Ensuring the Success of Knowledge Management Efforts   Part V: Intelligent Systems 12. Artificial Intelligence and Expert Systems 12. 1 Opening Vignette: Cigna Uses Business Rules to Support Treatment Request Approval 12.2 Concepts and Definition of Artificial Intelligence 12.3 The Artificial Intelligence Fields 12.4 Basic Concepts of Expert Systems 12.5 Applications of Expert Systems 12.6 Structure of Expert Systems 12.7 How Expert Systems Work- Inference Mechanisms 12.8 Problem Areas Suitable for Expert Systems 12.9 Development of Expert Systems 12.10 Benefits, Limitations and Success Factors of Expert Systems 12.11 Expert Systems on the Web   13. Advanced Intelligent Systems 13. 1 Opening Vignette: Improving Urban Infrastructure Management in the City of Verdum 13.2 Machine Learning Techniques 13. 3 Case-based Reasoning 13.4 Genetic Algorithms Fundamentals 13.5 Developing Genetic Algorithm Applications 13.6 Fuzzy Logic Fundamentals 13.7 Natural Language Processing 13.8 Voice Technologies 13.9 Developing Integrated Advanced System   14. Intelligent Systems over the Internet 14.1 Opening Vignette: NetFlix Gains High Customer Satisfaction from DVD Recommendation 14.2 Web-Based Intelligent Systems 14.3 Intelligent Agents: An Overview 14.4 Characteristics of Intelligent Agents 14.5 Why Use Intelligent Agents 14.6 Classification and Types of Intelligent Agents 14.7 Internet-Based Software Agents 14.8 DSS Agents and Multi-agents 14.9 Semantic Web: Representing Knowledge for Intelligent Agents 14.10 Web-Cased Recommendation Systems 14.11 Managerial Issues of Intelligent Agents   Part VI: Implementing Decision Support Systems 15. Systems Development and Acquisition 15.1 Opening Vignette: Osram Sylvania Thinks Small, Strategizes Big- Develops the InfoNet HR Portal System 15.2 What Types of Support Systems Should We Build? 15.3 The Landscape and Framework of MSS Applications Development 15.4 Development Options for MSS Applications 15.5 Prototyping: A Practical MSS Development Methodology 15.6 Criteria For Selecting a Development Approach 15.7 Third-Party Providers of MSS Software Packages and Suites 15.8 Connecting to Databases and Other Enterprise Systems 15.9 Rise of Web Services, XML, and Service-Oriented Architecture 15.10 End-user Developed MSS 15.11 Vendor and Software Selection and Management 15.12 Putting the MSS Together and Implementation Issues   16. Integration, Impacts, and the Future of Management Support Systems 16.1 Opening Vignette: Elite-Care Supported by Intelligent Systems 16.2 Systems Integration: An Overview 16.3 Types of MSS Integration 16.4 Integration with Enterprise Systems and Knowledge Management 16.5 The Impacts of MSS: An Overview 16.6 MSS Impacts on Organizations 16.7 MSS Impacts on Individuals 16.8 Automating Decision Making and the Manager's Job 16.9 Issues of Legality, Privacy, and Ethics 16.10 Intelligent and Automated Systems and Employment Levels 16.11 Other Societal Impacts and the Digital Divide 16.12 The Future of Management Support Systems 16.13 Resources, Links, and Teradata University Connection


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Product Details
  • ISBN-13: 9780131986602
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Edition: 0008-
  • Language: English
  • Series Title: English
  • Sub Title: United States Edition
  • Width: 204 mm
  • ISBN-10: 0131986600
  • Publisher Date: 18 Jan 2007
  • Binding: Hardback
  • Height: 254 mm
  • No of Pages: 850
  • Spine Width: 34 mm
  • Weight: 1540 gr


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