'Decision Support Systems\r'

'A decision instigate system (DSS) is a computer weapons plat constitute which is developed with a specific train of analyzing business entropy and presenting it to users to enable them put one over business decisions easily. It is different with other applications because of its readiness to analyze business information and it is hence an informational application.It can therefore be employ in analyzing sales figures in spite of appearance a given period, projecting revenue collections within a specific period of while among others.A decision support system has the readiness to present information in a graphical manner for ease of disposition and it can similarly incorporate an in effect(p) system or artificial intelligence.A numeric model is a mathematical internal representation of some kind of reality which is utilize to find more details virtu all in all in ally it. Mathematical model can be used to find a source to a decision line of work and abet in supply, it can also be used to find a kind among the input variables and establish the meaning of a particular set of selective information (Silver, 1991). Mathematical model can take the form of dynamic systems, differential equations, statistical models etc.This is a case study of Decision run System called ACRPLAN which Bayer Cooperation installed to assists it with financial grooming and budgeting. Some of the problems that the club was encountering during budgeting preparedness argon slow budgeting process, difficulties in obtaining financial selective information to use in budgeting.This was a problem because all the bon ton’s information were stored in various computers and obtaining them in all the company’s department was kind of difficult. There was also inefficient in communication methods between the different departments of the company.There was no single person who could understand the only company’s data from all the departments and pres ent it to the budgeting personnel to assist with budgeting purposes. The company was also face up with another problem of generating several budgets hence creating redundant data during budget generation. These most of the redundant data occupied the company’s resources and were never used.The management of the company was also faced with another problem of lack of able data for decision making. The budgeting process was thudding and time consuming so the managers had to forbear for all the company’s data to be gathered and the budget be drawn.The company was previously using go past worksheets which required manual input of data and this process increased the company’s budgeting costs since it had to hire data ingress clerks to enter data to the outdo worksheets. The excel worksheet was sophisticated and required a circulate of training.The company was growing at a very high rate and this was creating problems to the budgeting team because they could no t accommodate all the requirements of the grotesque growth of the company. The other problem was compound the company’s business processes and the planning process which were increasingly becoming conglomerate (Gachet, 2004).The volume of data that the company was generating was also high and analyzing this data for financial planning purposes was kinda difficult. Most of the company’s personnel were doctors, sales people, and research scientist who had petite knowledge of financial planning and budgeting.This created problems because the company’s financial data was quite complex and the company had to hire a financial expert to analyze the data and generate the company’s budget.\r\n'