Course Content
DSS – Introduction, Attributes, Characteristics, Benefits
Decision Support System (DSS): Concept and Philosophy, DSS: Deterministic Systems, Artificial intelligence (AI) System, Knowledge based expert system (KBES), MIS & the role of DSS, Transaction Processing System (TPS), Enterprise Management System (EMS), Enterprise Resource Planning (ERP) System, Benefits of ERP, EMS & ERP
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Decision Support System
Attributes of a DSS
Characteristics of a DSS
Benefits of DSS
Classification of DSS
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Classification of DSS
Types – Decision Support System
Decision support systems can be broken down into categories, each based on their primary sources of information.
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Data-driven DSS
Model-driven DSS
Communication-driven and group DSS
Knowledge-driven DSS
Document-driven DSS
Example – Decision support system
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GPS Routing
ERP dashboard
(CDSS)Clinical Decision Support System
DSS-Deterministic System
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DSS-Deterministic System
Difference between MIS and DSS
Artificial Intelligence (AI) System
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Introduction Artificial Intelligence (AI) System
Narrow or Weak AI
General or Strong AI
More Category based on functionality
Knowledge Based Expert System (KBES)
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Introduction: Knowledge Based Expert System (KBES)
Features of Knowledge Based Expert System
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Features of Knowledge Based Expert System
Components of Knowledge Based Expert System
Transaction Processing System (TPS)
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Introduction – Transaction Processing System
Key characteristics of Transaction Processing Systems
Examples of Transaction Processing Systems
Features of TPS
Enterprise Management System (EMS)
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Enterprise Management System (EMS)
Features of (EMS)
Enterprise Resource Planning (ERP) System
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What is ERP?
Key features and components of an ERP system
Management Information System
Benefits of DSS

Benefits of DSS

  • Improves efficiency and speed of decision-making activities.
  • Increases the control, competitiveness and capability of futuristic decision-making of the organization.
  • Facilitates interpersonal communication.
  • Encourages learning or training.
  • Since it is mostly used in non-programmed decisions, it reveals new approaches and sets up new evidences for an unusual decision.
  • Helps automate managerial processes.
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