CH03_withFigures - Chapter 3 DECISION SUPPORT SYSTEMS...

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Chapter 3 DECISION SUPPORT SYSTEMS CONCEPTS, METHODOLOGIES, AND TECHNOLOGIES: AN OVERVIEW
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Learning Objectives Understand possible decision support system (DSS) configurations Understand the key differences and similarities between DSS and business intelligence (BI) systems Describe DSS characteristics and capabilities Understand the essential definition of DSS Understand DSS components and how they integrate
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Learning Objectives Describe the components and structure of each DSS component: the data management subsystem, the model management subsystem, the user interface (dialog) subsystem, the knowledge-based management subsystem, and the user Explain Internet impacts on DSS and vice versa
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Learning Objectives Explain the unique role of the user in DSS versus management information systems (MIS) Describe DSS hardware and software platforms Understand important DSS classifications Become familiar with some DSS application areas and applications Understand important, current DSS issues
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DSS Configurations Decision support can be provided in many different configurations These configurations depend on the nature of the management-decision situation and the specific technologies used for support
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DSS Configurations These technologies are assembled from four basic components (each with several variations and are typically deployed over the Web) Data Models User interface Knowledge (optional)
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DSS Description DSS application A DSS program built for a specific purpose (e.g., a scheduling system for a specific company) Business intelligence (BI) A conceptual framework for decision support. It combines architecture, databases (or data warehouses), analytical tools, and applications
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DSS Description A DSS supports all phases of decision making and may include a knowledge component A DSS can be used by a single user on a PC or can be Web-based for use by many people at several locations
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DSS Characteristics and Capabilities
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DSS Description
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DSS Characteristics and Capabilities Business analytics The application of models directly to business data. Business analytics involves using DSS tools, especially models, in assisting decision makers. It is essentially OLAP/DSS. See also business intelligence (BI).
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DSS Characteristics and Capabilities Predictive analytics A business analytical approach toward forecasting (e.g., demand, problems, opportunities) that is used instead of simply reporting data as they occur
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DSS Characteristics and Capabilities The key characteristics and capabilities of DSS Support for decision makers, mainly in semistructured and unstructured situations, by bringing together human judgment and computerized information Support for all managerial levels, ranging from top executives to line managers Support for individuals as well as groups
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DSS Characteristics and Capabilities Support for interdependent and/or sequential decisions Support in all phases of the decision-making
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CH03_withFigures - Chapter 3 DECISION SUPPORT SYSTEMS...

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