Decision Support Systems (DSS) are computer software systems commonly used for business and organizational decision-making activities.
These designs aid decision makers in gathering raw information, identifying problems, and formulating possible solutions and decisions.
Uses of DSS
Virtually any kind of organization can take advantage of a DSS. It can be programmed to handle information specific to the needs of the group and give support to the decision making process.
Information that a DSS application might be able to generate includes sales figures that can be compared from one week to the next, inventory counts of current information assets, and projected revenue figures based on the new product sales forecast.
What are the Benefits of DSS?
DSS has helped organizations in its efficient use of information systems. DSS improves personal efficiency, speeds up the problem solving process, and eases interpersonal communication. It also encourages learning and training processes, helps regulate organizational control, and produces new evidence to support decisions. Moreover, it improves competitive advantage, supports the discovery of those who make decisions, and shows new ways of thinking in problems.
Taxonomy in DSS
There is no commonly acceptable taxonomy in DSS. Several authors have different classifications. Haettenschwiller uses the connection with users as the standard to distinguish active, passive, and cooperative DSS.
- Passive DSS – helps in the decision-making process but does not offer suggestions
- Active DSS – brings out decisions, suggestions or solutions
- Cooperative DSS – allows the person making the decision to edit, complete, or improve decisions that are provided in the system, prior to sending it to the main system for its validation
Power, another author, uses support as the criterion to create different classifications. They are as follows:
- Model-Driven DSS – stresses access to and the manipulation of statistical, optimization, financial, or even simulation models. This DSS uses the data and its factors provided by the users to help decision makers with their analysis
- Communication-Driven DSS – supports two or more people in the operation of a common task
- Data-Driven DSS – stresses contact to and the manipulation of the time sequence of internal data from the company and, often, external data
- Document-Driven DSS – retrieves, manipulates, and manages incomplete information in various electronic formats
- Knowledge-Driven DSS – gives focused problem-solving styles of expertise that are piled as facts, procedures, rules, or other similar structures
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