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Decision support systems for business intelligence / Vicki L. Sauter

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Hoboken, N.J : Wiley, c2010Copyright date: ©2010Edition: 2nd ed (Online-Ausg.)Description: Online-Ressource (1 online resource (xvi, 453 p.)) : illISBN:
  • 9781283203425
  • 1283203421
  • 9780470634424
Subject(s): Additional physical formats: 9780470433744 | 128320326X | Erscheint auch als: 9780470433744 Druck-AusgabeDDC classification:
  • 658.4038011
  • 658.4/038011
MSC: MSC: *90-02 | 90B50LOC classification:
  • HD30.213
Online resources: Summary: 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 fromSummary: 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.PPN: PPN: 809371588Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PBE | ZDB-30-PQE
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