Difference between revisions of "Decision support system"
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==Description== | ==Description== | ||
| + | Decision support systems (DSS) are a class of computerized information system that support decision-making activities. Decision support systems are designed artifacts that have specific functionality. | ||
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| + | Decision Support System types include i) communications-driven, ii) data-driven, iii) document-driven, iv) knowledge-driven, and v) model-driven systems. Communications technologies are central to communications-driven DSS for supporting decision-making. | ||
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| + | Data-driven DSS provide access to large data stores and analytics to create information. Document-driven DSS use documents to provide information for decision making. Knowledge-driven DSS are sometimes generically called expert systems or recommender systems. Model-driven DSS use quantitative models for functionality and have been called model-oriented DSS and computationally oriented DSS. The term knowledge management system (KMS) encompasses both document and knowledge-driven DSS. | ||
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| + | From [http://onlinelibrary.wiley.com/doi/10.1002/9781118785317.weom070211/abstract;jsessionid=2FCA2A1461FE4E6A8E9F2832498B6E4E.f04t03?userIsAuthenticated=false&deniedAccessCustomisedMessage= Decision Support Systems] | ||
==Variations== | ==Variations== | ||
Revision as of 15:51, 7 March 2016
Contents
Definition
A class of computer based information systems including knowledge based systems that support decision making activities
Purpose & benefits
The purpose of a Decision Support System (DSS) is to improve and support decision making within the organization. It facilitates that automation of routine decisions, and provides useful, supporting information for more complex, non-routine decision making.
Description
Decision support systems (DSS) are a class of computerized information system that support decision-making activities. Decision support systems are designed artifacts that have specific functionality.
Decision Support System types include i) communications-driven, ii) data-driven, iii) document-driven, iv) knowledge-driven, and v) model-driven systems. Communications technologies are central to communications-driven DSS for supporting decision-making.
Data-driven DSS provide access to large data stores and analytics to create information. Document-driven DSS use documents to provide information for decision making. Knowledge-driven DSS are sometimes generically called expert systems or recommender systems. Model-driven DSS use quantitative models for functionality and have been called model-oriented DSS and computationally oriented DSS. The term knowledge management system (KMS) encompasses both document and knowledge-driven DSS.
Variations
Implementation guide
See the [Implementation guide] in the Information technology article.
Success factors
See the [Success factors] in the Information technology article.
Common pitfalls
See the [Common pitfalls] in the Information technology article.
