Decision support systems are gaining an increased popularity in various domains, including business, engineering, the military, and medicine. They are especially valuable in situations in which the amount of available information is prohibitive for the intuition of an unaided human decision maker, and in which precision and optimality are of importance. Decision support systems can aid human cognitive deficiencies by integrating various sources of information, providing intelligent access to relevant knowledge, and aiding the process of structuring decisions. They can also support choice among well-defined alternatives and build on formal approaches, such as the methods of engineering economics, operations research, statistics, and decision theory. A decision support system may present information graphically and may include an expert system or artificial intelligence.
Extract, transform and load (ETL) tasks are part of building many types of DSS, including some model-driven DSS. BUT, the ETL software developed for creating and refreshing large data stores from transaction, enterprise resources planning (ERP) and/or operating systems is NOT needed for model-driven DSS. (Is ETL Software Needed to Build a Model-Driven DSS' 1995-2006).
Model-driven DSS emphasizes access to and manipulation of financial, optimization and/or simulation models. Model-driven DSS use limited data and parameters provided by decision makers to aid decision makers in analyzing a situation, but in general large data bases are not needed for model-driven DSS. Data-driven DSS emphasizes access to and manipulation of a time-series of internal company data and sometimes external and real-time data. Communications-driven DSS use network and communications technologies to facilitate decision-relevant collaboration and communication. A document-driven DSS uses computer storage and processing technologies to provide document retrieval and analysis. Knowledge-driven DSS can suggest or recommend actions to managers. Decision Support Systems pioneers came from a wide variety of backgrounds and faced many challenges that they successfully overcame to demonstrate the value of using computers, information technologies and specific decision support software to enhance and in some situations improve decision making. The future of decision support systems will certainly be different than the opportunistic and incremental innovations seen in the recent past. Decision support systems as an academic discipline is likely to follow a path similar to computer architecture and software engineering and become more rigorous and more clearly delineated.
The concepts of planning and control can be made operational within the layout of a Management Information System (MIS). MIS in general, are being designed and implemented to support management in fulfilling their role of planning and control. Management Information system provides services such as Management Information Reports ,Management Information Support , ,Statistical Analysis, and Report Design Services. MIS provides a full range of functions associated with the design, development, enhancement and support