Decision Support System

Decision Support System (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance.

Pronunciation

/dɪˈsɪʒ(ə)n səˈpɔːt ˈsɪstəm/

Etymology

The term "Decision Support System" originated in the early 1970s from the field of computer science and has been attributed to various researchers and practitioners in the field of operations research and management science.

Related Terms

• Business Intelligence
• Data Mining
• Expert Systems
• Knowledge Management Systems
• Management Information Systems
• Predictive Analytics

Description

A Decision Support System is a type of information system that is designed to help organizations make decisions and solve problems. It is a computer-based system that collects, organizes, and analyzes business data to facilitate quality business decision-making for management, operations, and planning. The primary purpose of a DSS is to provide managers with the ability to make complex, important decisions based on a wide range of information.

Components

A Decision Support System typically consists of four major components:

• Data Management Component: This component manages and maintains the data necessary for the system.
• Model Management Component: This component is responsible for the mathematical and statistical models that the system uses to analyze data.
• User Interface Component: This component allows users to interact with the system.
• Knowledge-Based Component: This component provides the system with any extra knowledge that it needs to make effective decisions.

Types of Decision Support Systems

There are several types of Decision Support Systems, including:

• Model-Driven DSS
• Data-Driven DSS
• Knowledge-Driven DSS
• Document-Driven DSS

Applications

Decision Support Systems are used in a wide range of fields, including business, healthcare, and education. They are used to analyze business data, to provide information for decision-making, and to support the decision-making process.

See Also

• Artificial Intelligence
• Big Data
• Business Analytics
• Data Science
• Machine Learning

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