Components of a Decision Support System
The
three main components of a DSS framework are:
1. Model Management System
The
models are used in decision-making regarding the financial health of the
organization and forecasting demand for a good or service.
2. User Interface
The
user interface includes tools that help the end-user of a DSS to navigate
through the system.
3. Knowledge Base
The
knowledge base includes information from internal sources (information
collected in a transaction process system) and external sources (newspapers and
online databases).
Types
of Decision Support Systems
1. Communication-driven:
Allows companies to support tasks that require more than one person to work on
the task. It includes integrated tools such as Microsoft SharePoint Workspace
and Google Docs.
2. Model-driven:
Allows access to and the management of financial, organizational, and
statistical models. Data is collected, and parameters are determined using the
information provided by users. The information is created into a
decision-making model to analyse situations.
3. Knowledge-driven:
Provides factual and specialized solutions to situations by using stored facts,
procedures, rules, or interactive decision-making structures like flowcharts.
4. Document-driven:
Manages unstructured information in different electronic formats.
5. Data-driven: Helps
companies to store and analyse internal and external data.
Advantages of a Decision
Support System
1.
A decision support system increases the speed and efficiency of decision-making
activities. It is possible, as a DSS can collect and analyse real-time data.
2.
It promotes training within the organization, as specific skills must be
developed to implement and run a DSS within an organization.
3.
It automates monotonous managerial processes, which means more of the manager’s
time can be spent on decision-making
4.
It improves interpersonal
communication within the organization.
Disadvantages of a Decision
Support System
1.
The cost to develop and implement a DSS is a huge capital investment, which
makes it less accessible to smaller organizations.
2.
A company can develop a dependence on a DSS, as it is integrated into daily
decision-making processes to improve efficiency and speed. However, managers
tend to rely on the system too much, which takes away the subjectivity aspect
of decision-making.
3.
A DSS may lead to information
overload because an information system tends to consider all
aspects of a problem. It creates a dilemma for end-users, as they are left with
multiple choices.
4.
Implementation of a DSS can cause fear and backlash from lower-level employees.
It is because many of them are not comfortable with new technology and are
afraid of losing their jobs to technology.
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