This report basically covers an analysis of the financial data related to cost of goods, operating cost, interest cost and sales. By using all the data, company has evaluated their net income and income before tax which helps them to improve their performance and will help to solve the current problem in the organization. The company will use the linear regression curve fitting technology to estimate the income before tax and also use the time series model to analyse the overall data.
This report is basically a case study of PLE organization which is currently dealing with a problem that they are not achieving the targeted goal for some reasons. Thus, this repost is for preparing and analysing the data related to the cost of goods, operating cost, operating cost and the sales of PLE organization. By using all those data the net income of the organization is found and also the estimated data is forecasted for the next three years. This report will provide an overall structure of an analysis of the organization which will help the organization in finding the problem in their system and also in making the future strategy to increase sales and income of the organization.
By analysing the above data we have considered the following strategies:
Curve fitting technology:
Curve fitting technology is used for making a relation between the data when the given curve is very critical to define the relation between the data. Thus, curve fitting technique helps in analysing the complicated relation in a very simple way. The given data are very complicated in nature. When we plot the curve for the given data then in increasing relationship, it shows a zigzag.