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Unformatted text preview: Alphonza Simpson May 2, 2008 Final Exam Mgmt 640 1. • A decision support system (DSS) or tool is one specifically designed to allow business end users (people at all levels of the company below the executive level) to perform computer-generated analyses of data on their own. This system supports exception reporting, stop light reporting, standard repository, data analysis and rule-based analysis. • Model-Driven DSS emphasize access to and manipulation of a model, for example, statistical, financial, optimization and/or simulation models. While data-driven DSS emphasizes access to and manipulation of a time-series of internal company data and sometimes external data. Simple file systems accessed by query and retrieval tools provide the most elementary level of functionality. • Complete Decision Support System: *Note: A problem that is too complex to be solved by only one tool must be broken down. The breaking is down repeatedly until the apparition of sub-problems can be solved by one tool. *NOTE: THE DSS DATABASE IS A COLLECTION OF CURRENT OR HISTORICAL DATA FROM A NUMBER OF APPLICATIONS OR GROUPS DSS DATABASE *Note: In order to design a DSS, we need to know the human decision process. At this stage we can determine either qualitative or quantitative decision-making tools and also determine our problem. Analysis of problem : This breaks down into sub-problems and solutions. Should FSU open a new location in another part of the state? Specification of DSS (with knowledge of existing components): This phase includes the study and consideration of functional requirements. The specification phase makes it possible to know the form in which the user will represent the problem. TPS: • Location Data (for this case 1 & 2): o Students from particular location o Students requesting information from the university for particular locations o Online students from particular locations • General Data: o Students taking online classes o Average student bill o Students whom purchased parking decals External Data: • Location Data (for this case 1 & 2) o Amount of college eligible students o Amount of people in the area with college degrees o Average income of location • General Data: o Average student commute o Study of preferred university size o State drop-out rate *Note: The following tools will be used in the problem solving process to narrow down our decision (in this case we are now down to location 1 vs. location 2). The questions asked will reflect a sensitivity analysis. *Note: It is the users (decision maker) responsibility to choose the business components to use amongst various tools in the above stage. User Interface *Note: In the above step, the information requested would now be transferred to the user interface in a way that is easily accessed by the user. Remember it is important for the DSS to be adaptive to the user....
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This note was uploaded on 04/14/2010 for the course MIS 316 taught by Professor Kristine during the Spring '10 term at York University.
- Spring '10