Data Management Subsystem 2. Model Management Subsystem Data access systems • User friendly ad hoc access Systems based on representational models • Dependence between a controllable variable and an

Components of DSS Components of DSS

1. Data Management Subsystem 2. Model Management Subsystem

3. The Dialog Management Subsystem Components of DSS: The Data Management Subsystem Components of DSS: The Data Management Subsystem • Supplies data to which the models can be applied • Database extract procedures are specified by a specialist • Data warehouses support organizational DSS • Commercial warehouses are emerging Components of DSS: The Model Management Subsystem Components of DSS: The Model Management Subsystem • Maintain the libraries of models • Explore the influence of various factors on outcomes a process known as sensitivity • What-if analysis • Goal-seeking Components of DSS: The Dialog Management Subsystem Components of DSS: The Dialog Management Subsystem • Supports the use in applying models to data • Multiple forms of input and output • Dialogs can support DSS styles Data Management Data Management for Retrieval Data Extraction from Internal and External Databases Model Management Creation, Maintenance, and Use of Models Dialog Management Menus, Icons, Natural Language, Graphics DSS on a Computer Platform DSS on a Computer Platform Human Decision Maker Human Decision Maker User What DSS Can Do For You: Classification of DSS What DSS Can Do For You: Classification of DSS

1. Data access systems • User friendly ad hoc access

• Open a database 2. Data analysis systems • Analyze historical and current data, either on demand ad hoc or periodically • Summarizing the firm’s performance 3. Forecast oriented data analysis systems • Develop product plans, market segment forecasts, sales forecast, and analysis of competitive systems 4. Systems based on accounting models What DSS Can Do For You: Classification of DSS: Continued What DSS Can Do For You: Classification of DSS: Continued

5. Systems based on representational models • Dependence between a controllable variable and an

outcome • Probabilistic results • Risk analysis models 6. Systems based on optimization models • Developed by management scientists to determine optimal allocation of resources or best possible schedules

7. Systems with suggestion models • Narrow domains of knowledge combined with DSS with an