Intro -- DECISION SUPPORT SYSTEMS FOR BUSINESS INTELLIGENCE -- CONTENTS -- PREFACE -- Part I INTRODUCTION TO DECISION SUPPORT SYSTEMS -- 1 INTRODUCTION -- What is a DSS? -- Uses of a Decision Support System -- The Book -- Suggested Readings -- Questions -- On the Web -- 2 DECISION MAKING -- Rational Decisions -- Bounded Rationality and Muddling Through -- Nature of Managers -- Appropriate Decision Support -- Electronic Memory -- Bias in Decision Making -- Appropriate Data Support -- Information Processing Models -- Tracking Experience -- Group Decision Making -- Intuition, Qualitative Data, and Decision Making -- How Do We Support Intuition? -- Virtual Experience -- Business Intelligence and Decision Making -- Analytics -- Competitive Business Intelligence -- Conclusion -- Suggested Readings -- Questions -- On the Web -- Part II DSS COMPONENTS -- 3 DATA COMPONENT -- Specific View Toward Included Data -- Characteristics of Information -- Timeliness -- Sufficiency -- Level of Detail -- Understandability -- Freedom from Bias -- Decision Relevance -- Comparability -- Reliability -- Redundancy -- Cost Efficiency -- Quantifiability -- Appropriateness of Format -- More Is Never Better! -- Databases -- Database Management Systems -- Data Warehouses -- Data Scrubbing -- Data Adjustment -- Architecture -- Car Example -- Possible Criteria -- Data Warehouse -- Information Uses -- How To -- Discussion -- Suggested Readings -- Questions -- On the Web -- 4 MODEL COMPONENT -- Models and Analytics -- Options for Models -- Representation -- Time Dimension -- Linearity of the Relationship -- Deterministic Versus Stochastic -- Descriptive Versus Normative -- Causality Versus Correlation -- Methodology Dimension -- Problems of Models -- Data Mining -- Intelligent Agents -- Model-Based Management Systems -- Easy Access to Models -- Understandability of Results.

Integrating Models -- Sensitivity of a Decision -- Model Management Support Tools -- Car Example -- Brainstorming and Alternative Generation -- Flexibility Concerns -- Evaluating Alternatives -- Running External Models -- Discussion -- Suggested Readings -- Questions -- On the Web -- 4S INTELLIGENCE AND DECISION SUPPORT SYSTEMS -- Programming Reasoning -- Backward-Chaining Reasoning -- Forward-Chaining Reasoning -- Comparison of Reasoning Processes -- Uncertainty -- Representing Uncertainty with Probability Theory -- Representing Uncertainty with Certainty Factors -- Discussion -- Suggested Readings -- Questions -- On the Web -- 5 USER INTERFACE -- Goals of the User Interface -- Mechanisms of User Interfaces -- User Interface Components -- Action Language -- Display or Presentation Language -- Knowledge Base -- Car Example -- Discussion -- Suggested Readings -- Questions -- On the Web -- Part III ISSUES OF DESIGN -- 6 INTERNATIONAL DECISION SUPPORT SYSTEMS -- Information Availability Standards -- Data Privacy -- Data Availability -- Data Flow -- Cross-Cultural Modeling -- Effects of Culture on Decision Support System -- Discussion -- Suggested Readings -- Questions -- On the Web -- 7 DESIGNING A DECISION SUPPORT SYSTEM -- Planning for Decision Support Systems -- Designing a Specific DSS -- Design Approaches -- The Design Team -- DSS Design and Reengineering -- Discussion -- Suggested Readings -- Questions -- On the Web -- 8 OBJECT-ORIENTED TECHNOLOGIES AND DSS DESIGN -- Kinds of Development Tools -- Non-Object-Oriented Tools -- Object-Oriented Tools -- Benefits of Object-Oriented Technologies for DSS -- Suggested Readings -- Questions -- On the Web -- 9 IMPLEMENTATION AND EVALUATION -- Implementation Strategy -- Ensure System Does What It Is Supposed To Do the Way It Is Supposed To Do It -- Keep Solution Simple -- Develop Satisfactory Support Base.

Institutionalize System -- Implementation and System Evaluation -- Technical Appropriateness -- Overall Usefulness -- Implementation Success -- Organizational Appropriateness -- Discussion -- Suggested Readings -- Questions -- On the Web -- Part IV EXTENSIONS OF DECISION SUPPORT SYSTEMS -- 10 EXECUTIVE INFORMATION AND DASHBOARDS -- KPIs and Balanced Scoreboards -- Dashboards -- Dashboard as Driver to EIS -- Design Requirements for Dashboard -- Dashboard Appliances -- Value of Dashboard and EIS -- Discussion -- Suggested Readings -- Questions -- On the Web -- 11 GROUP DECISION SUPPORT SYSTEMS -- Groupware -- GDSS Definitions -- Features of Support -- Decision-Making Support -- Process Support -- GDSS and Reengineering -- Discussion -- Suggested Readings -- Questions -- On the Web -- INDEX.

Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" -Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels-general theory, implications for DSS design, and code development-the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from

JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.