Decision Support Systems

A decision support system (DSS) is a computer program which is unquestionable with a specific purpose of analyzing business entropy and presenting it to users to enable them possess business decisions easily. It is different with other applications because of its ability to analyze business selective information and it is therefore an informational application.It keister therefore be used in analyzing gross sales figures within a given period, projecting revenue collections within a specific period of time among others.A decision support system has the ability to present information in a graphical manner for comforter of understanding and it can in like manner incorporate an expert system or artificial intelligence.A mathematical model is a mathematical representation of whatsoever kind of reality which is used to find more details some it. Mathematical model can be used to find a solution to a decision fuss and assist in planning, it can also be used to find a relationsh ip among the excitant variables and establish the meaning of a particular set of data (Silver, 1991). Mathematical model can take the form of dynamic systems, differential equations, statistical models etc.This is a case study of Decision Support System c every(prenominal)ed ACRPLAN which aspirin Cooperation installed to assists it with financial planning and budgeting. Some of the problems that the partnership was encountering during budgeting planning are slow budgeting process, difficulties in obtaining financial data to use in budgeting.This was a problem because all the confederacys data were stored in various computers and obtaining them in all the companys department was quite difficult. There was also inefficient in communication methods between the different departments of the company.There was no individual(a) person who could understand the whole companys data from all the departments and present it to the budgeting violence to assist with budgeting purposes. The co mpany was also faced with some other problem of generating several budgets hence creating redundant data during budget generation. These to the highest degree of the redundant data occupied the companys resources and were never used.The anxiety of the company was also faced with a nonher problem of lack of ample data for decision making. The budgeting process was tedious and time consuming so the managers had to wait for all the companys data to be collect and the budget be drawn.The company was previously using outdo worksheets which required manual input of data and this process increased the companys budgeting costs since it had to deal data entry clerks to enter data to the excel worksheets. The excel worksheet was sophisticated and required a lot of training.The company was growing at a very high rate and this was creating problems to the budgeting team because they could not accommodate all the requirements of the extraordinary growth of the company. The other problem was compound the companys business processes and the planning process which were increasingly go complicated (Gachet, 2004).The volume of data that the company was generating was also high and analyzing this data for financial planning purposes was quite difficult. Most of the companys personnel were doctors, sales people, and research scientist who had little knowledge of financial planning and budgeting.This created problems because the companys financial data was quite complex and the company had to hire a financial expert to analyze the data and generate the companys budget.