Functionality the goal of the dss is to identify the

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Functionality The goal of the DSS is to identify the issue during the intelligence stage in the information system and afterward provide solution during the design stage (Thakur, n.d). The decision will be made accordingly to criteria that will be changing from time to time (Thakur, n.d). It is therefore, required to go through these stages over and over till it gets a promising solution (Thakur, n.d). During this process, inquiry, analysis, and models and accounting system can be utilized to come to a rational solution (Thakur, n.d). DSS not just mainly helps in making a decision but it also helps in Embry-Riddle Aeronautical University
MILESTONE 4 10 performance analysis, where it uses different methods to achieve an acceptable solution.ith a suggested decision (Thakur, n.d). Types of DSS Decision Support System is classified in to different types. These six common types of DSS are - data driven DSS, model driven, knowledge driven, document driven, communication driven and inter- and intra-organization DSS - and each one of them have its own specific purpose to meet different users’ expectation. o Data driven DSS Data driven DSS which mostly are targeted at managers and also product or service suppliers (Power, n.d.). It emphasized the access to and manipulation of data custom-made to particular tasks utilizing general tools such as file drawer systems, data analysis systems, analysis information systems and data warehousing (Power, n.d.). o Model driven DSS A model driven DSS is a complex system that help analyse decisions or pick between various choices (Decision, n.d). This type of DSS utilizes limited data and it emphasizes more on access to and manipulation of a financial model (Decision, n.d). It is mostly used for production planning, scheduling and management (Decision, n.d). o Knowledge driven DSS Knowledge driven DSS has been referred as intelligent decision support systems that will provide suggestion plans which helps the user in choosing a Embry-Riddle Aeronautical University
MILESTONE 4 11 proper contrasting option to an issue at hand (Sauter, 2002). It is a combination of artificial intelligence with human knowledge and can recommend actions to users base on its expertise (Sauter, 2002). o Document driven DSS Document driven DSS is driven by a primary search engine and when required it can help aid in searching for data (Decision, n.d). It uses large document databases which consist of documents, Medias and hypertext docs such as catalogues, important correspondence, product specifications and corporate records (Decision, n.d). Furthermore, the systems can help out in retrieving and manage unstructured documents and webpage (Sauter, 2002). o Communication driven DSS Communication driven DSS is a hybrid DSS that emphasizes the utilization of communication and decision models to facilitate decision making as a group (Sauter, 2002). It uses various different types of technologies such as computer- based bulletin boards, audio, video conferencing and document sharing which will help to increase productivity and decision making (Sauter, 2002).

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