Sales analysis is mining your data to evaluate the performance of sales team against its goals. It provides insights about the top performing and underperforming products/services, The problems in selling and market opportunities, sales forecasting, and sales activities that generate revenue. Sales analytics is the practice of generating insights from sales data, trends, and metrics to set targets and forecast future sales performance. The best practice for sales analytics is to closely tie all activities to determine revenue outcomes and set objectives for your sales team. Analysis should focus on improvement and developing a strategy for improving your sales performance in both the short- and long-term.
Here, sales data of e-commerse website of year 2019 of every month is given which is combined into one dataframe and analysed to answer few questions like, what is the maximum sales month, which product is maximum sold, which combination of product is maximum and many more. Such question helps the organisation to focus on the specific data in order to move forward with the maximum sales.
Pandas, Numpy, Matplotlib, os
Python
Jupyter Notebook