DSS and decision support system and its types

All about decision support system and its types...

1. Group Members: Zahid Hashmi (M17BBA038) Hammal Akhter (M17BBA067) Ali Awan (M16BBA019)

2. Decision support system (DSS) A system for decision and problem solving

3. What is DSS? A DSS is a computer base information system that supports business or organizational decision making activities. A DSS is a collection of integrated software application and hardware that form the back bone of an organization’s decision making process and help to making decision ,which may be rapidly changing and not easy specified in advance.

4. Decision making as components of problem solving. Intelligence Design Choice Implementation Monitoring

5. DSS characteristics: Facilitation: DSS facilitate and support specific decision making activity. Interaction: DSS is a computer base system designed for interactive use by decision maker who control the sequence of interaction and operations performed . Ancillary: DSS can support decision maker at any level in an organization. They are not intended to replace decision maker. Repeated use: DSS are intended for repeated use. A specific DSS maybe use routinely as need for decision support tasks.

6. DSS characteristics: Decision Impact: DSS are intended to improve the accuracy ,timeline, quality, and over all effectiveness of a specific decision. Easy to develop and deploy: DSS delivers an interactive, scalable platform for rapidly developing and deploying project. Multiple project can be created within a single shared metadata. Flexibility: DSS feature are flexible and can be altered according to need providing a help hand in the work process.

7. DSS components: DSS components may be classified as: Input: factors, numbers and characteristics to analyze . User knowledge: input requiring manual analysis by the user. Output: Transformed data from which DSS Decision are generated. Decision: Result generate by the DSS based on user criteria.

8. DSS advantages: Time saving. Enhance effectiveness. Improve interpersonal communication. Competitive advantage. Less cost. Increase decision making satisfaction. Promote learning. Improve personal efficiency.

9. DSS Disadvantages: Overemphasize decision making. Assumption of relevance. Transfer of power. Unanticipated effect. Status reduction. Information overload.

10. DSS Applications: Medical diagnosis. Business and management. Agricultural production. Forest management.

11. DSS Objective: Increase the effectiveness of the manager decision making process. Support the manager in the decision making process butt does not replace it. Improve the directors effectiveness of decision making.

12. Hammal AKHTER (M17BBA067)

13. Decision Support Systems (DSS) are a class of computerized information system that support decision-making activities… A decision support system may present information graphically and may include an expert system…

14. TYPES OF THE DECISION SUPPORT SYSTEM: 1) COMMUNICATIN-DRIVEN DSS 2) DATA-DRIVEN DSS  3) DOCUMENT-DRIVEN DSS  4) KNOWLEDGE-DRIVEN DSS 5) MODEL-DRIVEN DSS  

15. 1) COMMUNICATION-DRIVEN DSS: Communications-driven DSS enable two or more people to communicate with each other, share information and co-ordinate their activities EXAMPLE : chats and instant messaging software

16. 2) DATA-DRIVEN DSS: These systems analyze large “pools of data” found in major organizational systems and they support decision-making by allowing users to extract useful information that was previously buried in large quantities of data . EXAMPLE : computer-based databases

17. 3) DOCUMENT-DRIVEN DSS:   The purpose of Document-driven DSS is to search web pages and find documents on a specific set of keywords or search terms. EXAMPLE : Lexis-Nexis, InfoSys and UNCOVER WebCrawler, Alta Vista and Lycos

18. 4) KNOWLEDGE-DRIVEN DSS :  Knowledge-Driven DSS  can suggest or recommend actions to managers. These DSS are person-computer systems with specialized problem-solving EXPERTISE. EXAMPLE : Confluence

19. 5) MODEL-DRIVEN DSS:   Model-driven DSSs are complex systems that help analyze decisions or choose between different options. EXAMPLE : Scheduling, Decision Analyses etc.

20. ALI AWAN (M16BBA060)

21. HISTORICAL BACKGROUND OF DSS Scott Morton “Decision Support Systems” was first gathered by P.G.W. Keen, a British Academic then working in the United States of America In 1978, Keen and Scott Morton published a book entitled Decision Support Systems: An Organizational Perspective. Computer systems having an impact on decisions where computer and analytical aids can be of value but where the manager’s judgment is essential.

22. • Decision emphasizes the primary focus on decision-making in a problem situation. • Support clarifies the computer’s role in aiding rather than replacing the decision maker; and • System highlights the integrated nature of the overall approach, suggesting the wider context of machine, user and decision environment

23. Works of dss in it DSSs include knowledge-based systems. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, and personal knowledge, or business models to identify and solve problems and make decisions.

24. conclusion DSS continues to impact decision-making in organizations and this is largely dependent on the nature of the application. The Internet and the Web have accelerated developments in decision support and decision-making and nowadays provide a new research focus area for DSS development and implementation.