Data Analytics Sales Forecasting Assignment

Added on - 16 Jun 2021

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Running head: DATA ANALYTICS AND SALES FORECASTINGData Analytics and Sales forecastingName of the StudentName of the UniversityAuthors note
DATA ANALYTICS AND SALES FORECASTING1Executive SummaryThis report will consist of the analysis of the data that will provide the base of different e-commerce data set with respect to the sales of different products in varied region and theentire process is measured using different criteria and other variables. The procedure ofresearch methodology and the processing of the data analytic sis also provided this paper.
DATA ANALYTICS AND SALES FORECASTING2Table of ContentsIntroduction................................................................................................................................3Research Methodology...............................................................................................................3Analytical Findings....................................................................................................................4Statistical data about the dataset................................................................................4Customers in different regions according to the shipping type..................................5Region wise sale of products......................................................................................6Impact of shipping type of the ordered products.......................................................8Use of liner regression model for the predicting the monthly sales.........................10Recommendations to the company..........................................................................................11Implementation plan based on the recommendations..............................................................12Conclusion................................................................................................................................12Bibliography.............................................................................................................................13Appendix..................................................................................................................................14
DATA ANALYTICS AND SALES FORECASTING3IntroductionDue to the fact that the online e-commerce market has taken over the traditionalmarkets with the increased demand of the products. This competition is increasing immenselyhence the business organizations can exploit these opportunities to gain advantage in themarket. Market demands are becoming more important for the processing of the data that areviable in order to process the marketing demand. The business data that are in used are storedin unstructured manner.This paper incurs with the fact that data that will deal with the data that will act as thereference dataset of the e-commerce business regarding the productivity of the regions. Thisreport will include the fact that will provide the explanatory analysis of the data set that is tobe recognized in different patterns.Research MethodologyDuring the processing of the data the major requirement is to predict monthly salesfor the progress in the procession of the data structuring of the E-commerce organization. Inaddition to the fact that the data mining method usage will also be discussed. Linear egressionmethod will also be used in order topredict the monthly sales of the product in differentregions. This methodology ensures the fact that the proper comparison between the dataparameters are provided with respect to the relationship or the pattern of the data that are notpreviously explored.As an example, the analysis of the monthly sales regarding the sales data, customercount with respect to the geographic region for creating the patterns of the data analytics ofthe processing the project.
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