decesion support systems
DESCRIPTION
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. - PowerPoint PPT PresentationTRANSCRIPT
Decesion Support Systems
John O’GormanDept MIS
Structured andUnstructured ProblemsStructured Problems
Proven set of steps for solutionAlgorithm
Unstructured Problems Multiple potential solution
Semistructured Problems Neither fully structured nor totally
unstructured
Structured andUnstructured ProblemsProgrammable Problems
Specific programs can be written to solveStructured problems are programmableUnstructured problems are unprogrammable
Managers and Semistructured Problems Most common type of problem for
managers
DSS ComponentsDecision Support Systems (DSS)
Computer-based information systems that help managers select one of many solutions Automates some of decision-making
processSophisticated and fast analysisUsed 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 DecisionSupport SystemsPersonal Decision Support Systems
Serve individual users in daily decision making
Run on personal computers
Single model for data processing
Types of DecisionSupport 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 AdministrationConcurrencyDocument Repositories
Expert System
Embody Human understanding
Target not explicit model
Target is tacit understanding
Implications from Ba
Expert SystemsLimited to Specific DomainLimited to Specific Problem ina
Specific DomainOrganisation Context
Comprehensive / Muiltiple tasks / Useful LifeWho makes the decesionsType of Solution (Time, Number)
ConclusionDSS encapsulate MdoelsES encapsulate tacit understanding
Make unstructured structures
Executive Information Systems
John O’GormanDept of MIS
EIS - What is it?
Strutured Data SystemSuperior 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 ProblemLack of Data Integration
Dependability/Consistency IssuesEIS developed as complete new systemPredefined query pathSlow Database SoftwareEIS stopped been EIS
Business Intelligent System Decesion Support System
EIS - Implementation
High CostsUnknown BenefitsThreat to existing functional areasExecutive trainingIncompatibility with Corporate
procedures
EIS - What Changed?
1. Data Integration
2. New Development
3. Set queries
4. Slow DB
5. Exec Training
ERP
Emergent System
Visual Query Tools
Better Technology
New Breed
EIS - Uses (Scottish Power)
Standarize InformationScottish 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 anotherDaily Flash - Transaction warningQuery EngineTrend AnalysisReal Time reporting
Conclusion
EIS problems from lack of integration Lagging Technology
Physical barriers overcomeNew potentails arise (decentralisation etc)