Decision Support Systems
Decision Support Systems have evolved over the past three decades from simple model-oriented systems to advanced multi-function entities.
many organizations started to upgrade their network infrastructure, object-oriented technology and data warehousing started to make its mark on Decision Support Systems. The rapid expansion of the Internet provided additional opportunities for the scope of Decision Support Systems and consequently many new innovative systems such as OLAP and other web-driven systems were developed.
Many types of Decision Support Systems
Decision Support Systems have evolved over the past three decades from simple model-oriented systems to advanced multi-function entities.
many organizations started to upgrade their network infrastructure, object-oriented technology and data warehousing started to make its mark on Decision Support Systems. The rapid expansion of the Internet provided additional opportunities for the scope of Decision Support Systems and consequently many new innovative systems such as OLAP and other web-driven systems were developed.
Many types of Decision Support Systems
As mentioned earlier, DSS can be classified in many different categories. Amongst the common ones are the following:
1 Data-driven DSS
These DSS has file drawer systems, data analysis systems, analysis information systems, data warehousing and emphasizes access to and manipulation of large databases of structured data
2 Model-driven
The underlying model that drives the DSS can come from various disciplines or areas of specialty and might include accounting models, financial models, representation models, optimization models, etc. With model drive, DSS the emphasis is on access to and manipulation of a model, rather than data, i.e. it uses data and parameters to aid decision-makers in analyzing a situation. These systems usually are not data-intensive and consequently are not linked to very large databases.
3 Knowledge-driven
These systems provide recommendation and/or suggestion schemes which aid the user in selecting an appropriate alternative to a problem at hand. Knowledge-driven DSS is often referred to as management expert systems or intelligent decision support systems. They focus on knowledge and recommend actions to managers based on an analysis of a certain knowledge base. Moreover, it has special problem-solving expertise and is closely related to data mining i.e. sifting through large amounts of data to produce content relationships.
4 Document has driven
These systems help managers retrieve and manage unstructured documents and web pages by integrating a variety of storage and processing technologies to provide complete document retrieval and analysis. It also accesses documents such as company policies and procedures, product specification, catalogs, corporate historical documents, minutes of meetings, important correspondence, corporate records, etc. and are usually driven by a task-specific search engine.2
5 Communication driven
This breed of DSS is often called group decision support systems (GDSS). They are a special type of hybrid DSS that emphasizes the use of communications and decision models intended to facilitate the solution of problems by decision-makers working together as a group. GDSS supports electronic communication, scheduling, document sharing, and other group productivity and decision enhancing activities and involves technologies such as two-way interactive video, bulletin boards, e-mail, etc.
6 Inter- and Intra-organization DSS
These systems are driven by the rapid growth of the Internet and other networking technologies such as broadband WANs, LANs, WIP, etc. Inter-organization DSS is used to serve companies stakeholders (customers, suppliers, etc.), whereas intra-organization DSS is more directed towards individuals inside the company and specific user groups. The latter, because of their stricter control, are often stand-alone units inside the firm.
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