Decesion Support Systems John O’Gorman Dept MIS Structured and Unstructured Problems Structured Problems Proven set of steps for solution Algorithm Unstructured Problems Multiple potential solution Semistructured Problems Neither fully structured nor totally unstructured Structured and Unstructured Problems Programmable Problems Specific programs can be written to solve Structured problems are programmable Unstructured problems are unprogrammable Managers and Semistructured Problems Most common type of problem for managers DSS Components Decision Support Systems (DSS) Computer-based information systems that help managers select one of many solutions Automates some of decision-making process Sophisticated and fast analysis Used at all management levels DSS Components Three Major Components Data management module • Database • External Structured Data Model management module • Model for Analysis e.g. Regression Dialog management module • Parameter Modification • Display of Results • Connection to other Modules Types of Decision Support Systems Personal Decision Support Systems Serve individual users in daily decision making Run on personal computers Single model for data processing Types of Decision Support Systems Group Decision Support Systems Promote brainstorming and group decision making Located in conference room or on networked computers Weigh votes to overcome impasses Sensitivity Analysis Sensitivity analysis Tests degree to which result is affected by change in parameters What-if analysis Can change multiple parameters at once Future/Current Development Natural Language Query/Visual Display Support for Acessing External Data Sources (XML/ADO) Zero Administration Concurrency Document Repositories Expert System Embody Human understanding Target not explicit model Target is tacit understanding Implications from Ba Expert Systems Limited to Specific Domain Limited to Specific Problem ina Specific Domain Organisation Context Comprehensive / Muiltiple tasks / Useful Life Who makes the decesions Type of Solution (Time, Number) Conclusion DSS encapsulate Mdoels ES encapsulate tacit understanding Make unstructured structures Executive Information Systems John O’Gorman Dept of MIS EIS - What is it? Strutured Data System Superior User Interface Drill Down Features Trend Analysis Visual Query Features Communicate with other data sources EIS - The Aim Aeroplane Metaphor Cockpit equiped with early warning instrumentation By Mid-90’s had not worked out EIS - The Problem Lack of Data Integration Dependability/Consistency Issues EIS developed as complete new system Predefined query path Slow Database Software EIS stopped been EIS Business Intelligent System Decesion Support System EIS - Implementation High Costs Unknown Benefits Threat to existing functional areas Executive training Incompatibility with Corporate procedures EIS - What Changed? 1. Data Integration ERP 2. New Development Emergent System 3. Set queries Visual Query Tools 4. Slow DB Better Technology 5. Exec Training New Breed EIS - Uses (Scottish Power) Standarize Information Scottish Power Visible Performance Levels Model Organisations CSF Phased approach Only Financial System in DB Long Term Forecast Fuelled Decentalisation EIS - Uses (Nike) Profitability System (1980’s) One question leads to another Daily Flash - Transaction warning Query Engine Trend Analysis Real Time reporting Conclusion EIS problems from lack of integration Lagging Technology Physical barriers overcome New potentails arise (decentralisation etc)