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What Is Decision Support System?

DSS can be defined as use of computer request that will help managers, workers, or people who socialize within the organization to make decisions and identify problems by using available data and communication technology.

Origin Of DSS

In 1960 J. C. R. Licklider composed a paper on his observation of how the connection between man and computer can increase the quality and competency in recognising and problem resolving. His paper proved to be such as a guide to numerous future studies on DSS. In 1962 with use of hypertext online system helped in storage space and retrieval of documents and creation of digital libraries. SAGE (Semi Auto Earth Environment) built by Forrester is just about the first data driven computerised DSS. In 1964 Scott Morton developed an interactive model powered management decision system which could help managers make important management decisions. In 1970 John D. C. Little known that the requirement for developing models and system to make a management decision was completeness to data, simplicity, ease of control and robustness, which till day are relevant in improving and evaluating modern DSS's. By 1975 he built up a DSS called Brandaid which could support advertising, advertising, charges and product related decisions. In 1974 the concentration was on presenting managers with information that was from accounting and transaction processing system with use if MIS(Management Information Systems) but MIS was found to not helping out professionals with making key decisions. Hence in 1979 Scott Morton and Gorry argued that MIS just mainly focused on set up decisions and therefore the machine which also supports unstructured and semi-structured decision should be referred to as Decision support systems.

In s nutshell developments:-

1960 Building model-driven DSS

1970 Theory developments

Mid 80's Execution of financial planning systems, spreadsheet DSS and Group DSS.

Early 90's Evolving of Data warehouses, Professional Information Systems, OLAP and Business Brains.

Mid 90's Knowledge-driven DSS and the implementation of Web-based DSS

Types Of DSS:

Model Driven DSS

`Quantitative models supply the most basic degree of functionality. Model motivated DSS's use small data and guidelines provided by the DSS's users usually managers to help them in analysing an issue and generate statistical, financial report and simulation model to help the decision makers. Model powered DSS's question can help organisational functions to answer the "IMAGINE IF" question and therefore help them forecast the consequences of changes in business process.

Ferguson and Jones' creation scheduling request was also a model-driven DSS but Scott-Morton's in 1971, production planning management decision system was the first widely mentioned model-driven DSS.

Data Influenced DSS

Data driven DSS are systems which makes use of company's mostly inner data and sometimes external and real time data to help organisations make decisions. Usually the data will come in form of directories or data warehouse that allows questions and data retrieval tools and analysis to make decisions.

Richard Klaas and Charles Weiss at American Airlines developed main data-driven DSS. A good example of data motivated DSS can be use of digital maps or the GIS( Geographic Information System).

Communication Powered DSS

Communication Powered DSS assists with decision making to inside group of folks by sharing of information and allowing communication between them. Most basic example can be the threaded email between a group and intricate example can be video conferencing. In communication motivated DSS communication technologies is most important element of its working architecture. Lately internet provided huge alternatives to communication influenced DSS.

Groupware bulletin video recording and audio conferencing are several systems used for communication Driven DSS.

Document Motivated DSS

Document influenced DSS uses the organisations documents such as procedures, procedures, processes, requirements, historical, stored documents and finalizing technologies to give documental analysis and enhance decision making. This type is system is usually directed at larger foundation of users.

Internet greatly escalates the option of all required documents and hence helps in development of report powered DSS.

Knowledge Powered DSS

Knowledge Driven DSS are being used usually by managers to help them with management advice or to choose products or services. These DSS's can be simply a standalone computers with applications that are expert in particular domain along with its understanding to be able to solve the problems of this particular domain. Man-made intelligence is significantly utilized by such program to help Knowledge powered DSS's.

Now a day's Knowledge Driven DSS in conjunction with intelligence systems are being used at medical diagnostic centre's, scam detection and scheduling manufacturing businesses.

Web-based DSS

Computerized DSS's capabilities were long with introduction of internet and world-wide web. With moving time HTML developed and TAGS and tables further helped in boosting Web-based DSS. With all these innovations web-based DSS became main system for all types of DSS to develop. Corporate have started using intranet for knowledge management and support information exchange between various departments. The server that is having the DSS program is connected to the computer by the network through the TCP/IP protocol. Recently request service provider's created enterprise knowledge portals that put together information portals, knowledge management, business cleverness and communications-driven DSS within an involved Web environment.

Benefits of DSS

Improves efficiency

Helps in faster problem solving

Helps in social communication

Promotes learning

Increases organizational control

Provides new evidence in support of a decision

Creates a competitive gain over competition

Encourages exploration and discovery for the decision maker

Reveals new methods to thinking about the challenge space

Helps automate the managerial processes.

Cost reduction and enhance income.

Disadvantages of DSS

Over dependency for Decision making

Assuming it to be right.

Unanticipated effects

Deflect personal responsibilities

Information overload.

Conclusion

DSS continues to be and developing technology. The types of DSS brought up are just several many DSS which are around and help company in decision making. Many of the types of DSS are subsets of recently investigated and created DSS with added efficiency and/or requirements.

A very simple period of historical data has been used to portray DSS evolution and expansion in early on years. All the scientists, analysts and professors then create basics for future DSS to develop and build after to enhance and simplify decision making.

By focusing on how DSS evolved above the period of time and exactly how its still being developed helps us in understanding how and where the future DSS's are heading and what things to expect next in this fast growing technology. From the types discussed Online is the most rapidly growing and bettering DSS. Recent developments in internet, personal computers and communication devices are supporting Web-based DSS software to divulge into several other fields.

DSS and DSS program is constantly on the take benefit of any and all emerging technologies in artificial cleverness, directories, data warehouses, human being interaction with pcs which can assist in improving it more and simplify decision making.

Sources/Referrals::

http://www. bestpricecomputers. co. uk/glossary/decision-support-systems. htm

http://searchcio. techtarget. com/classification/decision-support-system

http://en. wikipedia. org/wiki/Decision_support_system

http://dssresources. com/background/dsshistory. html

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