- 1 What are the DSS tools?
- 2 What are five categories of decision support tools?
- 3 How could a DSS help make these decisions?
- 4 Why is a DSS a powerful tool for decision makers?
- 5 What are the 4 main components in building a DSS?
- 6 What are the characteristics of DSS?
- 7 What are three major components of a DSS?
- 8 How many types of DSS are there?
- 9 Which one is type of decision support system?
- 10 What are the main components of DSS?
- 11 Which of the following is a limitation of a DSS?
- 12 Why is it so important to include a model in a DSS?
- 13 What is the difference between model driven DSS and data driven DSS?
- 14 Why does a DSS generally include its own database?
- 15 How is Mis different from DSS?
What are the DSS tools?
Decision Support Tools
- Affinity Charting.
- Analytical Hierarchy Process.
- Balanced Scorecard.
- Boston Plot.
- Capabilities and Competences.
What are five categories of decision support tools?
Categories of decision support systems
- Data-driven DSS. These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS).
- Model-driven DSS.
- Knowledge-driven DSS.
- Document-driven DSS.
- Communication-driven and group DSS.
How could a DSS help make these decisions?
A decision support system (DSS) is a computerized program used to support determinations, judgments, and courses of action in an organization or a business. A DSS sifts through and analyzes massive amounts of data, compiling comprehensive information that can be used to solve problems and in decision-making.
Why is a DSS a powerful tool for decision makers?
It is possible to automate some of the decision making processes in a large, computer-based DSS which is sophisticated and analyze huge amount of information fast. It helps corporate to increase market share, reduce costs, increase profitability and enhance quality.
What are the 4 main components in building a DSS?
A typical Decision support systems has four components: data management, model management, knowledge management and user interface management.
What are the characteristics of DSS?
Attributes of a DSS
- Adaptability and flexibility.
- High level of Interactivity.
- Ease of use.
- Efficiency and effectiveness.
- Complete control by decision-makers.
- Ease of development.
- Support for modeling and analysis.
What are three major components of a DSS?
Three fundamental components of a DSS architecture are:
- the database (or knowledge base),
- the model (i.e., the decision context and user criteria)
- the user interface.
How many types of DSS are there?
The decision support systems can be broadly classified into two types, namely model-based DSS and data-based DSS.
Which one is type of decision support system?
The most common technology used to deploy the DSS is a web or client server. Examples: chats and instant messaging softwares, online collaboration and net-meeting systems. Most data-driven DSSs are targeted at managers, staff and also product/service suppliers.
What are the main components of DSS?
A decision support systems consists of three main components, namely database, software system and user interface.
Which of the following is a limitation of a DSS?
Explanation: The limitation of a DSS is its higher cost, which makes less accessible to smaller companies. Implementation of a DSS requires large capital amount which is not wearable by small organizations.
Why is it so important to include a model in a DSS?
Importance of a model in DSS: Models in DSS are generally used to analyze the situations with respect to the decision making where these models enable experimentation with different strategies under different configurations. That’s the reason why model is included in DSS.
What is the difference between model driven DSS and data driven DSS?
Model-driven DSS help firms model alternative inventory stocking levels, production schedules, or transportation plans, and data-driven DSS provide firms with information on key performance indicators such as lead time, cycle time, inventory turns, or total supply chain costs.
Why does a DSS generally include its own database?
In order to provide the DSS with the right data, there should be a structure in place for storage, access, manipulation and retrieval of large amounts of data. The database is the “feeder” of the DSS and good database design is thus crucial in improving the overall performance of the DSS.
How is Mis different from DSS?
The key difference between MIS and DSS is that MIS is a primary level of decision making whereas DSS is the ultimate and the main part of the decision. DSS is an information system that supports business or organizational decision-making activities.