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Decision Support System


Decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. unstructured and semi-structured decision problems. Decision support systems can be either fully computerized or human-powered, or a combination of both.

DSS include knowledge-based systems. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, and personal knowledge, or business models to identify and solve problems and make decisions.

Typical information that a decision support application might gather and present includes
·         inventories of information assets (including legacy and relational data sources, cubes, data warehouses, and data marts),
·         comparative sales figures between one period and the next,
·         projected revenue figures based on product sales assumptions

Decision support systems are interactive, computer-based systems that aid users in judgment and choice activities. They provide data storage and retrieval but enhance the traditional information access and retrieval functions with support for model building and model-based reasoning. They support framing, modeling, and problem solving. Typical application areas of DSS are management and planning in business, health care, the military, and any area in which management will encounter complex decision situations. Decision support systems are typically used for strategic and tactical decisions faced by upper-level management decisions with a reasonably low frequency and high potential consequences in which the time taken for thinking through and modeling the problem pays off generously in the long run.

DSS is an application that produces comprehensive information. This is different from an operations application, which is used to collect data. A DSS is primarily used by mid- to upper-level management and is key for understanding large amounts of data. For example, a DSS may be used to project a company's revenue over the upcoming six months based on new assumptions about product sales. Due to a large number of variables that surround projected revenue figures, this is not a straightforward calculation that can be done manually. A DSS can integrate multiple variables and generate an outcome and alternate outcomes, all based on the company's past product sales data and current variables.


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Muhammad Yusuf Firdaus 106218091

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