A Critique of the Proposed National Education Policy Reform
Decision Support System
1.
2. Followings are the topic out line of DSS
Learning Objectives
An Overview of DSS
Characteristics and capabilities of DSS
Components of a DSS
Decision Types and Levels in organization
Decision Making and Problem Solving
Approaches
Data-driven versus Model-driven DSS
Summary
3. Students will be able to define DSS in business
context
Students will be able to understand the various
types of decision taken at various level in a
typical business organization
Students will be able to use DSS in taking
decision by applying the knowledge acquired as
per lower levels of RBT
Define the stages of decision making.
Discuss the importance of implementation and
monitoring in problem solving.
4. Decisions support systems includes _
People and Procedures
Software, Databases, and devices that are used in
problem-specific decision-making and problem-
solving.
Particularly useful when dealing with semi-
structured, poorly structured, or unstructured
situations.
Although decision support systems are used most
often at higher levels of management, all employees
may use them to assist in even programmable
decisions.
5. Following are the important characteristics viz.
Management level
Computer system combines database and
modelbase,
User - friendly software for semi-structured &
unstructured decision making
Offer potential to assist in solving both semi-
structured and unstructured problems
6. Perform complex, sophisticated analysis
Simulation - allows a user to model a problem by
duplicating features of a real system. This generally
involves some uncertainty or probability.
What-if analysis - even simple spreadsheets support
“what-if analysis”, which allows the user to make changes
to input variables to see the result on outcomes.
Goal-seeking analysis – Allows the user to set the goal
and input can be defined by DSS.
7. Handles large amount of data from various sources
Provide report and presentation flexibility
Offer both textual and graphical orientation
Support drill down analysis
8. Support all problem-solving phases
Support different decision frequencies
Support different problem structures
Support various decision-making levels
13. Programmed decisions
Structured situations with well defined relationships
Quantifiable
Management information system
Easy to computerize
Non-programmed decisions
› Rules and relationships not defined
› Problem is not routine
› Not easily quantifiable
14. Optimization: find the optimum solution
Satisfying: find a good solution
Heuristics: rules of thumb
15. Data-driven DSS - primarily performs qualitative
analysis based on the company’s databases
Model-driven DSS - primarily performs
mathematical or quantitative analysis
16. An organized collection of people, procedures,
software, databases, and devices working to support
managerial decision making
Specialized decision support systems designed to
meet the needs of senior management