Creating a PowerPoint presentation (PPT) on Decision Support Systems (DSS) can be an effective way to convey information about the topic. Here's a suggested outline for your DSS PPT: Slide 1: Title Slide Title: "Decision Support Systems (DSS): Empowering Informed Decision-Making" Subtitle: [Your Name/Organization] Date Slide 2: Introduction to Decision Support Systems Definition of DSS Purpose and importance of DSS in organizations Brief overview of the presentation structure Slide 3: Types of Decision Support Systems Overview of different types of DSS: Model-Driven DSS Data-Driven DSS Communication-Driven DSS Explanation of each type with examples Slide 4: Components of Decision Support Systems Key components of DSS: Database Management System (DBMS) Model Base User Interface Decision-Making Process Description of each component and its role in DSS Slide 5: Characteristics of Decision Support Systems Flexibility and adaptability Interactivity Integration with other systems Support for various decision-making levels Real-time data access Example scenarios illustrating these characteristics Slide 6: Benefits of Decision Support Systems Enhanced decision-making process Improved data analysis and interpretation Increased productivity and efficiency Better strategic planning and forecasting Competitive advantage Case studies or examples demonstrating these benefits Slide 7: Challenges in Implementing Decision Support Systems Data quality and integration issues Complexity of decision-making processes Resistance to change Cost of implementation and maintenance Training and skill requirements Strategies for overcoming these challenges Slide 8: Examples of Decision Support Systems in Practice Industry-specific examples (e.g., healthcare, finance, retail) Highlight successful implementations and their impact on organizations Visualization of DSS interfaces or dashboards (if available) Slide 9: Future Trends in Decision Support Systems Artificial Intelligence (AI) and Machine Learning (ML) integration Predictive analytics and prescriptive modeling Advanced data visualization techniques Cloud-based DSS solutions Ethical considerations and implications Potential opportunities and challenges Slide 10: Conclusion Recap of key points covered Emphasis on the importance of DSS in contemporary business environments Call to action or final thoughts Slide 11: Questions and Discussion Inviting questions and facilitating discussion from the audience Slide 12: Thank You Expressing gratitude to the audience Contact information for further inquiries or collaboration Ensure your slides are visually appealing, concise, and effectively convey the information. Use visuals such as graphs, charts, and diagrams to illustrate key concepts and data. Also, practice delivering your presentation to ensure smooth delivery and engagement with your audience.

1. Topic: Decision
Support System (DSS)
NAME: Rijit Mukherjee
BATCH: BBA 4th Semester
SUBJECT: Management Information System
SUBJECT CODE: BBA(N)402
ROLL NO: 29705019017
Date: 1.07.2021

2. What is DSS?
 A DSS is a computer-based information system that
supports business or organizational decision-making
activities.
 A DSS is a collection of integrated software applications
and hardware that form the backbone of an organization’s
decision making process and help to make decisions,
which may be rapidly changing and not easily specified in
advance.

3. DSS ANALYSIS
1-SensitivityAnalysis :- The study of the effect that
changes in one or more parts of a model have on other
parts of the model.
2- What-if Analysis:- Checks the impact of a change in the
assumptions or other input data on the proposed solution.
3- Goal-seeking Analysis:- Find the value of the inputs
necessary to achieve a desired level of output.
COMPONENTS AND STRUCTURE OF
DSS:-
1- Data Management:- Includes the database(s) containing
relevant data for the decision situation.

4. COMPONENTS AND STRUCTURE
OF DSS
2- User Interface:-Enables the users to communicate with
and command the DSS.
3- Model Management:- Includes software with financial,
statistical, management science, or other quantitative
models.
4- Knowledge Management:- Provides knowledge for
solution of the problem; supports any of the other
subsystems or act as an independent component.

5. CLASSIFICATIONS-
RELATIONSHIPWITH THE USER
1-Passive DSS:- System that aids the process of decision
making, but that cannot bring out explicit decision
suggestions or solutions.
2- Active DSS:- Can bring out such decision suggestions or
solutions.
3-Cooperative DSS:- Allows the decision maker to
modify, complete, or refine the decision suggestions
provided by the system, before sending them back to
the system for validation. The system again improves,
completes, and refines the suggestions of the decision
maker. Repeat this process.

6. CLASSIFICATIONS-MODEOF
ASSISTANCE
1-Model-driven DSS:- Use data and parameters provided by
users to assist decision makers in analyzing a situation
Example:- Dicodess is an example of an open source model-
driven DSS generator .
2- Communication-driven DSS:-Supports more than one person
working on a shared task
Example:- Microsoft's NetMeeting or Groove
3-Data-driven DSS:- Emphasizes access to and manipulation of
a time series of internal company data and, sometimes,
external data.
Example:- Computer based databases that have a query system
to check including the incorporation of data to add value to
existing databases.

7. 4- Document-driven DSS:- Manages, retrieves and
manipulates unstructured information in a variety of
electronic formats.
Example:- policies and procedures.
5- Knowledge-driven DSS:- Provides specialized problem
solving expertise stored as facts, rules, procedures.
Example:- Life insurance selection expert system.
Characteristics of DSS:- 1- Provide rapid access to
information.
2- Handle large amount of data from different sources.
3- Provide report and presentation flexibility.
4- Support drill down analysis.
5- Perform complex, sophisticated analysis and comparisons
using advanced software packages.

8. Advantages of DSS
1.Improving personal efficiency
2.Improving problem solving
3. Facilitating communications.
4. Promoting learning or training.
5. Increasing organisational control.

9. Disadvantages of DSS
1. Limited storage capability.
2. Slow.
3. Limited information sharing.
4. Difficult.
5. Require extensive knowledge.
6. Translation problems.
7. Confliction.