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https://www.researchgate.net/publication/220630419_Understanding_Data-Driven_Decision_Support_Systems
Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implementations. Different development packages also …
https://www.tandfonline.com/doi/abs/10.1080/10580530801941124
Apr 23, 2012 · Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implementations. Different development packages also impact the capabilities of data-driven DSS and hence criteria for evaluating data-driven DSS development software are important to understand.Cited by: 177
https://dl.acm.org/citation.cfm?id=1451619
Data-driven DSS is one of five major types of computerized decision support systems and the features of such systems vary across specific implementations. Different development packages also impact the capabilities of data-driven DSS and hence criteria for evaluating data-driven DSS development software are important to understand.Cited by: 177
https://www.researchgate.net/profile/Daniel_Power2/publication/220630419_Understanding_Data-Driven_Decision_Support_Systems/links/02e7e517abcd6742ef000000.pdf
Data-driven DSS refers to a category or type of Decision Support System that emphasizes access to and manipula- tion of a time-series of internal company data and some-
https://www.academia.edu/1179627/Understanding_data-driven_decision_support_systems
Understanding data-driven decision support systems
https://www.managementstudyguide.com/building-knowledge-driven-decision-support-system.htm
The main characteristics of knowledge-driven decision support systems are: These systems aid managers in solving complex problems. These systems allow users to interact with them during the process of decision making. The recommendations made by these systems are based on human knowledge.
https://data-drivendecisionsupportsystem.blogspot.com/
Apr 07, 2011 · New development in information technology such as decision support system gives a wide range of people the ability to make quicker decisions. D.J Power’s new data-driven decision support system (2007) allows the user to organize date faster than before because due to its new features people will be more efficient at work.
http://dssresources.com/papers/features/jessani/jessani12052003.html
Nevertheless, a number of innovative companies have avoided the pitfalls by understanding that creation of a successful data-driven DSS requires three essential elements: first, a process that carefully gauges the short- and long-term decision support needs of the business and what is required to meet those needs; second, a flexible, step-by ...
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