Individual Report计算机报告.docx

Individual ReportAbstractSales forecasting is an important process for a company, which can help the company to make better business decision. For example, the company can reasonably manage their inventory according to the result of sales forecasting. This report aims to describe the whole processes of sales forecasting for a company with using SAS. The whole processes include data preprocessing, model building, result analysis and evaluating. IntroductionWith the development of technology, Sales forecasting is widely used now, which can help companies to set business plan. For example, sales forecasting is useful in setting production schedules and resource allocating [1]. Sales forecasting is a useful process that used to predict sales in the future. Companies can make a better business decision according to the result of sales forecasting, thus enabling the company to become more competitive. In this report, the whole processes of sales forecasting for a company that is a nationwide retailer in the US. According to the provided data sets, there are many factors that will affect sales in this case, such as the size of store, the type of store, temperature, fuel price, promotions, CPI, Unemployment rate and whether the week is a holiday week. When we do sales forecasting, we must take these factors into account. These provided data sets are not standardized, so these data must be preprocessed. After preprocessing these data, we need to choose some appropriate model to build. Different model will produce different results. The next thins to do are to analysis results, to compare these different model and to evaluate prediction accuracy.In the first section, the problem will be introduced. The second part is to analyze the factors that affect sales. The processes of data preprocessing will be described in the third part. The introduction of different models used in this case will be presented in fourth part. The results of also will be presented in the fourth part