A Dashboard was created by me in Power BI Desktop to showcase the Amazon sales trends, top and bottom items, Region wise and item-wise sales analysis of various sales items in different years, Quarters, months, days, etc. It gives a detailed insight into the various trends. The data set was provided by ineuron to complete the project and extract various information from it.
Problem Statement: Sales management has gained importance to meet increasing competition and the need for improved methods of distribution to reduce cost and to increase profits. Sales management today is the most important function in a commercial and business enterprise.
Do ETL : Extract-Transform-Load some Amazon dataset and find for me Sales-trend -> month wise , year wise , yearly_month wise Find key metrics and factors and show the meaningful relationships between attributes. Do your own research and come up with your findings.
Dataset: You can find the dataset on the given link https://drive.google.com/drive/folders/1FkmFVL8wlJmQWP1z52TD8PlhOJhitTyI?usp=sharing
Approaches: Python, R, Tableau, Power BI or you can use any tools and techniques as per your convenience. We would appreciate your valid imagination in finding solutions