1. Decision Support Systems

2. Objectives What is Decision Support System (DSS)? Decision Structure
Decision Support System Characteristics
Components of DSS
Classification of DSS
Benefits of DSS

3. What is Decision Support System?
An interactive, flexible computerized information system that enables managers to obtain and manipulate information as they are making decisions.
DSS

4. What is Decision Support System?
DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions.

5. Information required at different management levels

6. Levels of Management in Decision Making
Strategic management
Executives develop organizational goals, strategies, policies, and objectives
As part of a strategic planning process
Tactical management
Managers and business professionals in self-directed teams
Develop short- and medium-range plans, schedules and budgets
Specify the policies, procedures and business objectives for their subunits

7. Levels of Management in Decision Making
Operational management
Managers or members of self-directed teams
Develop short-range plans such as weekly production schedules

8. Decision Structure
Structured Decisions – situations where the procedures to follow when a decision is needed can be specified in advance
Unstructured Decisions – decision situations where it is not possible to specify in advance most of the decision procedures to follow
Semi structured Decisions - decision procedures that can be prespecified, but not enough to lead to a definite recommended decision

9. DSS System Characteristics
Characteristics of a
DSS System
Interactive
Flexible
Discovery-Oriented
Accessible

10. COMPONENTS OF DSS

11. Classification of DSS Model-driven DSS Communication-driven DSS
Data-driven DSS
Document-driven DSS
Knowledge-driven DSS

12. Model-driven DSS
A model-driven DSS emphasizes access to and manipulation of a statistical, financial, optimization, or simulation model.
Model-driven DSS use data and parameters provided by users to assist decision makers in analyzing a situation; they are not necessarily data-intensive.

13. Communication-driven DSS
A communication-driven DSS supports more than one person working on a shared task

14. Data-driven DSS
A data-driven DSS or data-oriented DSS emphasizes access to and manipulation of a time series of internal company data and, sometimes, external data

15. Document-driven DSS
A document-driven DSS manages, retrieves, and manipulates unstructured information in a variety of electronic formats.

16. Knowledge-driven DSS
A knowledge-driven DSS provides specialized problem-solving expertise stored as facts, rules, procedures, or in similar structures

17. Benefits of DSS Improves personal efficiency
Accelerate problem solving
Facilitates interpersonal communication
Promotes learning or training
Increases organizational control
Generates new evidence in support of a decision
Creates a competitive advantage over competition
Reveals new approaches to thinking about the problem space