This document provides an overview of decision support systems (DSS), including their history, evolution, definitions, components, users, and categories. It discusses how DSS have developed from early computers used for calculations during World War II to today's data-driven systems. A DSS is defined as an information system that provides knowledge workers with information to make informed decisions. Key components of a DSS include a database, model base, knowledge base, and user interface. DSS support but do not replace human decision makers such as executives and managers. Common categories of DSS are data-driven versus model-driven and individual versus group-oriented systems.
Training Slides of Decision Support System, discussing how the system as an interactive computer-based system that is being effectively used in communications technologies.
Some keypoints:
- The Decision Support Paradigm
- Basic Concepts of DSS
- Examples of DSS
For further information regarding the course, please contact:
info@asia-masters.com
Organization’s success depends on quality of managers’ decisions
When decisions involve large amounts of data and complex processing, a DSS is a valuable tool
When decision making involves many uncertainties and/or lots of alternatives a DSS is needed
This PPT Covers the following topics:
Decision Making as a Component of Problem Solving, Problem Solving Factors, Characteristics of a DSS, Example of DSS, Integration of TPS, MIS, Web-Based Decision Support Systems, Components of a DSS, Advantages and Disadvantages of Modeling, Group Decision Support System, Executive Support System, Characteristics of ESS.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
Training Slides of Decision Support System, discussing how the system as an interactive computer-based system that is being effectively used in communications technologies.
Some keypoints:
- The Decision Support Paradigm
- Basic Concepts of DSS
- Examples of DSS
For further information regarding the course, please contact:
info@asia-masters.com
Organization’s success depends on quality of managers’ decisions
When decisions involve large amounts of data and complex processing, a DSS is a valuable tool
When decision making involves many uncertainties and/or lots of alternatives a DSS is needed
This PPT Covers the following topics:
Decision Making as a Component of Problem Solving, Problem Solving Factors, Characteristics of a DSS, Example of DSS, Integration of TPS, MIS, Web-Based Decision Support Systems, Components of a DSS, Advantages and Disadvantages of Modeling, Group Decision Support System, Executive Support System, Characteristics of ESS.
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
Project DSS.pptx (Decission Support System)BanasreeKhan
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.
Artificial Intelligence for Automating Data AnalysisManuel Martín
The requirements for analysing big volumes of data have increased over the last few decades. The process of selecting, cleaning, modelling and interpreting data is called the KDD process. The decision of how to approach each step in this process has often been made manually by experts. However, experts cannot be aware of all methods, nor is it feasible to try all of them. Researchers have proposed different approaches for automating, or at least advising, the stages of the KDD process. This talk will outline the different types of Intelligent Discovery Assistants as described in the work of Serban et al. “A survey of intelligent assistants for data analysis” and point out some future directions.
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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3. SQIT 3023 - Information System in Decision Making
1950s
- computers are used for
commercial purpose
- EDP ADP DP TPS IRS
World War
- calculate effective range of depth charges
- calculate optimal trajectories for artillery shell
Early computers
- Used to automate repetitive calculation
- Processed numerical data
Chapter
1
Definition
Data & Model
Management
Knowledge
Base of DSS
User of DSS
Category &
Classes of DSS
History &
Evolution
4. SQIT 3023 - Information System in Decision Making
History &
Evolution
1960s:
The MIS era
1970s:
DSS
1980s:
DSS with easier end-
user data access
1990s:
DSS
Datawarehouse
5. SQIT 3023 - Information System in Decision Making
Definition
Chapter
1
Data & Model
Management
Knowledge
Base of DSS
User of DSS
Category &
Classes of DSS
History &
Evolution
‘ Computer based information system
whose primary purpose is to provide knowledge workers
with information on which to based informed decisions’
(Mallach, 2000, p.12)
6. SQIT 3023 - Information System in Decision Making
Definition
SQIT 3023 - Information System in Decision Making
Definition
All DSS
are…
Information Systems
Used by knowledge
workers
Used in decision
making
Support BUT do not
replace people
Not all
DSS
are…
Used in semi-
structured decision
Incorporate
models
Incorporate
Database
7. SQIT 3023 - Information System in Decision Making
Improve personal efficiency
Improve problem solving
Facilitate communication
Promote learning or training
Increase organizational control
8. SQIT 3023 - Information System in Decision Making
9. SQIT 3023 - Information System in Decision Making
Data & Model
Management
Definition
Chapter
1
Knowledge
Base of DSS
User of DSS
Category &
Classes of DSS
History &
Evolution
Data represents unorganized and unprocessed facts.
Usually data is static in nature.
It can represent a set of discrete facts about
events.
Data is a prerequisite to information.
An organization sometimes has to decide on the
nature and volume of data that is required for
creating the necessary information.
Information
Information can be considered as an
aggregation of data (processed data) which
makes decision making easier.
Information has usually got some meaning and
purpose.
Knowledge
By knowledge we mean human understanding of a
subject matter that has been acquired through
proper study and experience.
Usually based on learning, thinking, and proper
understanding of the problem area.
We can view it as an understanding of information
based on its perceived importance or relevance to a
problem area.
It can be considered as the integration of human
perceptive processes that helps them to draw
meaningful conclusion
10. SQIT 3023 - Information System in Decision Making
Data & Model
Management
Definition
Chapter
1
Knowledge
Base of DSS
User of DSS
Category &
Classes of DSS
History &
Evolution
The Database The Model Base
Internal data
External Data
Private data
Statistical, financial,
mathematical & other
quantitative models
The DBMS
The MBMS
Data definition
Data manipulation
Data Integrity
Access Control
Concurrency control
Transaction Recovery
Modelling language
Model library
Model manipulation
User Interface
11. SQIT 3023 - Information System in Decision Making
Knowledge
Base of DSS
Data & Model
Management
Definition
Chapter
1
User of DSS
Category &
Classes of DSS
History &
Evolution
Experts
reasoning
Knowledge Base
Knowledge:
Facts + Hypothesis
Knowledge Engineer
Interview
Protocolanalysis
Modeling
Inference EngineUser
12. SQIT 3023 - Information System in Decision Making
User of DSS Knowledge
Base of DSS
Data & Model
Management
Definition
Chapter
1
Category &
Classes of DSS
History &
Evolution
Top
Executives
Middle
Managers
Individual
Contributors
EIS
DSS
TPS
13. SQIT 3023 - Information System in Decision Making
Data & Model
Management
Definition
Chapter
1
Knowledge
Base of DSS
User of DSS
History &
Evolution
Data-centric
&
Model-centric
Institutional
vs
Ad-Hoc
Directed/Individual
vs
Non-directed /Group
Procedural
vs
Non-procedural
Language Systems
Custom-
vs
Ready-made
Category &
Classes of DSS
14. SQIT 3023 - Information System in Decision Making
1. Download and read notes for Chapter 2.
2. Within your group:
Identify a problem that require a decision to be made. The problem can be
based on your personal experience or any real organizational problems. Prepare
a slide presentation on:
a. What is the problem?
b. What are the alternative solutions to the problem?
c. What are the information needed to make a decision on the particular
problem?
d. What is the process involve in making the decision?
3. Do a revision on techniques of decision making that you have learn before.