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FunctionalityThe goal of the DSS is to identify the issue during the intelligence stage in theinformation 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 timeto time (Thakur, n.d). It is therefore, required to go through these stages over and overtill 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 inEmbry-Riddle Aeronautical University
MILESTONE 410performance analysis, where it uses different methods to achieve an acceptablesolution.ith a suggested decision (Thakur, n.d).Types of DSSDecision Support System is classified in to different types. These six commontypes of DSS are - data driven DSS, model driven, knowledge driven, documentdriven, communication driven and inter- and intra-organization DSS - and each one ofthem have its own specific purpose to meet different users’ expectation.oData driven DSSData driven DSS which mostly are targeted at managers and also product orservice suppliers (Power, n.d.). It emphasized the access to and manipulation ofdata custom-made to particular tasks utilizing general tools such as file drawersystems, data analysis systems, analysis information systems and datawarehousing (Power, n.d.).oModel driven DSSA model driven DSS is a complex system that help analyse decisions or pickbetween various choices (Decision, n.d). This type of DSS utilizes limited dataand it emphasizes more on access to and manipulation of a financial model(Decision, n.d). It is mostly used for production planning, scheduling andmanagement (Decision, n.d). oKnowledge driven DSSKnowledge driven DSS has been referred as intelligent decision supportsystems that will provide suggestion plans which helps the user in choosing aEmbry-Riddle Aeronautical University
MILESTONE 411proper contrasting option to an issue at hand (Sauter, 2002). It is a combination ofartificial intelligence with human knowledge and can recommend actions to usersbase on its expertise (Sauter, 2002).oDocument driven DSSDocument driven DSS is driven by a primary search engine and when requiredit can help aid in searching for data (Decision, n.d). It uses large documentdatabases which consist of documents, Medias and hypertext docs such ascatalogues, important correspondence, product specifications and corporaterecords (Decision, n.d). Furthermore, the systems can help out in retrieving andmanage unstructured documents and webpage (Sauter, 2002).oCommunication driven DSSCommunication driven DSS is a hybrid DSS that emphasizes the utilization ofcommunication 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 willhelp to increase productivity and decision making (Sauter, 2002).