{"product_id":"decision-support-systems-for-business-intelligence-isbn-9780470433744","title":"Decision Support Systems for Business Intelligence","description":"Praise for the First Edition  \u003cp\u003e\"This is the most usable decision support systems text. [i]t is far better than any other text in the field\" —Computing Reviews\u003c\/p\u003e \u003cp\u003eComputer-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.\u003c\/p\u003e \u003cp\u003eThis 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eExpanded coverage of data mining with new examples\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNewly added discussion of business intelligence and transnational corporations\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDiscussion of the increased capabilities of databases and the significant growth of user interfaces and models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eEmphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eExplanations and implications of DSS differences across cultures and the challenges associated with transnational systems\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEach 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.\u003c\/p\u003e \u003cp\u003eDecision 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.\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Introduction to Decision Support Systems 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is a DSS? 13\u003c\/p\u003e \u003cp\u003eUses of a Decision Support System 17\u003c\/p\u003e \u003cp\u003eThe Book 19\u003c\/p\u003e \u003cp\u003eSuggested Readings 19\u003c\/p\u003e \u003cp\u003eQuestions 21\u003c\/p\u003e \u003cp\u003eOn the Web 22\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Decision Making 23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRational Decisions 25\u003c\/p\u003e \u003cp\u003eBounded Rationality and Muddling Through 29\u003c\/p\u003e \u003cp\u003eNature of Managers 31\u003c\/p\u003e \u003cp\u003eAppropriate Decision Support 33\u003c\/p\u003e \u003cp\u003eElectronic Memory 33\u003c\/p\u003e \u003cp\u003eBias in Decision Making 33\u003c\/p\u003e \u003cp\u003eAppropriate Data Support 36\u003c\/p\u003e \u003cp\u003eInformation Processing Models 37\u003c\/p\u003e \u003cp\u003eTracking Experience 45\u003c\/p\u003e \u003cp\u003eGroup Decision Making 46\u003c\/p\u003e \u003cp\u003eIntuition, Qualitative Data, and Decision Making 47\u003c\/p\u003e \u003cp\u003eHow Do We Support Intuition? 48\u003c\/p\u003e \u003cp\u003eVirtual Experience 51\u003c\/p\u003e \u003cp\u003eBusiness Intelligence and Decision Making 53\u003c\/p\u003e \u003cp\u003eAnalytics 57\u003c\/p\u003e \u003cp\u003eCompetitive Business Intelligence 58\u003c\/p\u003e \u003cp\u003eConclusion 60\u003c\/p\u003e \u003cp\u003eSuggested Readings 60\u003c\/p\u003e \u003cp\u003eQuestions 65\u003c\/p\u003e \u003cp\u003eOn the Web 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II DSS Components 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Data Component 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSpecific View Toward Included Data 72\u003c\/p\u003e \u003cp\u003eCharacteristics of Information 73\u003c\/p\u003e \u003cp\u003eTimeliness 73\u003c\/p\u003e \u003cp\u003eSufficiency 74\u003c\/p\u003e \u003cp\u003eLevel of Detail 75\u003c\/p\u003e \u003cp\u003eUnderstandability 76\u003c\/p\u003e \u003cp\u003eFreedom from Bias 77\u003c\/p\u003e \u003cp\u003eDecision Relevance 78\u003c\/p\u003e \u003cp\u003eComparability 78\u003c\/p\u003e \u003cp\u003eReliability 80\u003c\/p\u003e \u003cp\u003eRedundancy 80\u003c\/p\u003e \u003cp\u003eCost Efficiency 80\u003c\/p\u003e \u003cp\u003eQuantifiability 81\u003c\/p\u003e \u003cp\u003eAppropriateness of Format 82\u003c\/p\u003e \u003cp\u003eMore is Never Better! 83\u003c\/p\u003e \u003cp\u003eDatabases 85\u003c\/p\u003e \u003cp\u003eDatabase Management Systems 86\u003c\/p\u003e \u003cp\u003eData Warehouses 87\u003c\/p\u003e \u003cp\u003eData Scrubbing 93\u003c\/p\u003e \u003cp\u003eData Adjustment 96\u003c\/p\u003e \u003cp\u003eArchitecture 97\u003c\/p\u003e \u003cp\u003eCar Example 101\u003c\/p\u003e \u003cp\u003ePossible Criteria 101\u003c\/p\u003e \u003cp\u003eData Warehouse 102\u003c\/p\u003e \u003cp\u003eInformation Uses 102\u003c\/p\u003e \u003cp\u003e“How To” 107\u003c\/p\u003e \u003cp\u003eDiscussion 118\u003c\/p\u003e \u003cp\u003eSuggested Readings 121\u003c\/p\u003e \u003cp\u003eQuestions 123\u003c\/p\u003e \u003cp\u003eOn the Web 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Model Component 125\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eModels and Analytics 125\u003c\/p\u003e \u003cp\u003eOptions for Models 129\u003c\/p\u003e \u003cp\u003eRepresentation 130\u003c\/p\u003e \u003cp\u003eTime Dimension 132\u003c\/p\u003e \u003cp\u003eLinearity of the Relationship 134\u003c\/p\u003e \u003cp\u003eDeterministic Versus Stochastic 135\u003c\/p\u003e \u003cp\u003eDescriptive Versus Normative 136\u003c\/p\u003e \u003cp\u003eCausality Versus Correlation 137\u003c\/p\u003e \u003cp\u003eMethodology Dimension 138\u003c\/p\u003e \u003cp\u003eProblems of Models 147\u003c\/p\u003e \u003cp\u003eData Mining 148\u003c\/p\u003e \u003cp\u003eIntelligent Agents 156\u003c\/p\u003e \u003cp\u003eModel-Based Management Systems 159\u003c\/p\u003e \u003cp\u003eEasy Access to Models 159\u003c\/p\u003e \u003cp\u003eUnderstandability of Results 163\u003c\/p\u003e \u003cp\u003eIntegrating Models 166\u003c\/p\u003e \u003cp\u003eSensitivity of a Decision 168\u003c\/p\u003e \u003cp\u003eModel Management Support Tools 174\u003c\/p\u003e \u003cp\u003eCar Example 177\u003c\/p\u003e \u003cp\u003eBrainstorming and Alternative Generation 177\u003c\/p\u003e \u003cp\u003eFlexibility Concerns 179\u003c\/p\u003e \u003cp\u003eEvaluating Alternatives 183\u003c\/p\u003e \u003cp\u003eRunning External Models 189\u003c\/p\u003e \u003cp\u003eDiscussion 190\u003c\/p\u003e \u003cp\u003eSuggested Readings 190\u003c\/p\u003e \u003cp\u003eQuestions 193\u003c\/p\u003e \u003cp\u003eOn the Web 195\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4S Intelligence and Decision Support Systems 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProgramming Reasoning 200\u003c\/p\u003e \u003cp\u003eBackward-Chaining Reasoning 201\u003c\/p\u003e \u003cp\u003eForward-Chaining Reasoning 203\u003c\/p\u003e \u003cp\u003eComparison of Reasoning Processes 206\u003c\/p\u003e \u003cp\u003eUncertainty 206\u003c\/p\u003e \u003cp\u003eRepresenting Uncertainty with Probability Theory 208\u003c\/p\u003e \u003cp\u003eRepresenting Uncertainty with Certainty Factors 209\u003c\/p\u003e \u003cp\u003eDiscussion 211\u003c\/p\u003e \u003cp\u003eSuggested Readings 211\u003c\/p\u003e \u003cp\u003eQuestions 212\u003c\/p\u003e \u003cp\u003eOn the Web 212\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 User Interface 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGoals of the User Interface 216\u003c\/p\u003e \u003cp\u003eMechanisms of User Interfaces 218\u003c\/p\u003e \u003cp\u003eUser Interface Components 223\u003c\/p\u003e \u003cp\u003eAction Language 224\u003c\/p\u003e \u003cp\u003eDisplay or Presentation Language 233\u003c\/p\u003e \u003cp\u003eKnowledge Base 251\u003c\/p\u003e \u003cp\u003eCar Example 256\u003c\/p\u003e \u003cp\u003eDiscussion 271\u003c\/p\u003e \u003cp\u003eSuggested Readings 271\u003c\/p\u003e \u003cp\u003eQuestions 273\u003c\/p\u003e \u003cp\u003eOn the Web 274\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Issues of Design 277\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 International Decision Support Systems 279\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInformation Availability Standards 289\u003c\/p\u003e \u003cp\u003eData Privacy 290\u003c\/p\u003e \u003cp\u003eData Availability 295\u003c\/p\u003e \u003cp\u003eData Flow 296\u003c\/p\u003e \u003cp\u003eCross-Cultural Modeling 297\u003c\/p\u003e \u003cp\u003eEffects of Culture on Decision Support System 303\u003c\/p\u003e \u003cp\u003eDiscussion 310\u003c\/p\u003e \u003cp\u003eSuggested Readings 310\u003c\/p\u003e \u003cp\u003eQuestions 312\u003c\/p\u003e \u003cp\u003eOn the Web 313\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Designing a Decision Support System 315\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePlanning for Decision Support Systems 319\u003c\/p\u003e \u003cp\u003eDesigning a Specific DSS 320\u003c\/p\u003e \u003cp\u003eDesign Approaches 329\u003c\/p\u003e \u003cp\u003eThe Design Team 340\u003c\/p\u003e \u003cp\u003eDSS Design and Reengineering 341\u003c\/p\u003e \u003cp\u003eDiscussion 344\u003c\/p\u003e \u003cp\u003eSuggested Readings 344\u003c\/p\u003e \u003cp\u003eQuestions 346\u003c\/p\u003e \u003cp\u003eOn the Web 347\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Object-Oriented Technologies and DSS Design 349\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eKinds of Development Tools 350\u003c\/p\u003e \u003cp\u003eNon-Object-Oriented Tools 350\u003c\/p\u003e \u003cp\u003eObject-Oriented Tools 352\u003c\/p\u003e \u003cp\u003eBenefits of Object-Oriented Technologies for DSS 365\u003c\/p\u003e \u003cp\u003eSuggested Readings 366\u003c\/p\u003e \u003cp\u003eQuestions 367\u003c\/p\u003e \u003cp\u003eOn the Web 367\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Implementation and Evaluation 369\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImplementation Strategy 369\u003c\/p\u003e \u003cp\u003eEnsure System Does What It is Supposed to Do the Way It is Supposed to Do It 372\u003c\/p\u003e \u003cp\u003eKeep Solution Simple 375\u003c\/p\u003e \u003cp\u003eDevelop Satisfactory Support Base 375\u003c\/p\u003e \u003cp\u003eInstitutionalize System 380\u003c\/p\u003e \u003cp\u003eImplementation and System Evaluation 382\u003c\/p\u003e \u003cp\u003eTechnical Appropriateness 382\u003c\/p\u003e \u003cp\u003eOverall Usefulness 385\u003c\/p\u003e \u003cp\u003eImplementation Success 386\u003c\/p\u003e \u003cp\u003eOrganizational Appropriateness 391\u003c\/p\u003e \u003cp\u003eDiscussion 392\u003c\/p\u003e \u003cp\u003eSuggested Readings 392\u003c\/p\u003e \u003cp\u003eQuestions 394\u003c\/p\u003e \u003cp\u003eOn the Web 395\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Extensions of Decision Support Systems 397\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Executive Information and Dashboards 399\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eKPIs and Balanced Scoreboards 400\u003c\/p\u003e \u003cp\u003eDashboards 401\u003c\/p\u003e \u003cp\u003eDashboard as Driver to EIS 408\u003c\/p\u003e \u003cp\u003eDesign Requirements for Dashboard 410\u003c\/p\u003e \u003cp\u003eDashboard Appliances 417\u003c\/p\u003e \u003cp\u003eValue of Dashboard and EIS 418\u003c\/p\u003e \u003cp\u003eDiscussion 423\u003c\/p\u003e \u003cp\u003eSuggested Readings 423\u003c\/p\u003e \u003cp\u003eQuestions 425\u003c\/p\u003e \u003cp\u003eOn the Web 426\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Group Decision Support Systems 427\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGroupware 429\u003c\/p\u003e \u003cp\u003eGDSS Definitions 432\u003c\/p\u003e \u003cp\u003eFeatures of Support 434\u003c\/p\u003e \u003cp\u003eDecision-Making Support 434\u003c\/p\u003e \u003cp\u003eProcess Support 438\u003c\/p\u003e \u003cp\u003eGDSS and Reengineering 439\u003c\/p\u003e \u003cp\u003eDiscussion 440\u003c\/p\u003e \u003cp\u003eSuggested Readings 440\u003c\/p\u003e \u003cp\u003eQuestions 442\u003c\/p\u003e \u003cp\u003eOn the Web 443\u003c\/p\u003e \u003cp\u003eIndex 445\u003c\/p\u003e \"This volume 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.\" (Zentralblatt MATH, 2011)  \u003cp\u003e \"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.\" (News Blaze, 28 February 2011)\u003c\/p\u003e \u003cp\u003eVICKI L. SAUTER, PhD, is Professor of Information Systems at the University of Missouri–St. Louis. She has published numerous journal articles in her areas of research interest, which include systems analysis, decision support systems, and Web development. Dr. Sauter currently serves as an Associate Editor for the Journal of Decision Support Systems Technology and INFORMS Online.\u003c\/p\u003e   \u003cp\u003ePraise for the First Edition\u003c\/p\u003e \u003cp\u003e\"This is the most usable decision support systems text ? [i]t is far better than any other text in the field?\" —Computing Reviews\u003c\/p\u003e \u003cp\u003eComputer-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.\u003c\/p\u003e \u003cp\u003eThis 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eExpanded coverage of data mining with new examples\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNewly added discussion of business intelligence and transnational corporations\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDiscussion of the increased capabilities of databases and the significant growth of user interfaces and models\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eEmphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eExplanations and implications of DSS differences across cultures and the challenges associated with transnational systems\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEach 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.\u003c\/p\u003e \u003cp\u003eDecision 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989030879461,"sku":"NP9780470433744","price":151.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470433744.jpg?v=1761782511","url":"https:\/\/k12savings.com\/products\/decision-support-systems-for-business-intelligence-isbn-9780470433744","provider":"K12savings","version":"1.0","type":"link"}