Shoprity is a retail company that has operations in several African countries. The company focuses on providing retail services to small businesses as well as individual consumers. Recently the company's management is looking at the prospect of expanding the B2B sales and would like to task you as a Data Scientist to gather insights from data that the company has collected then inform them on how the company can increase B2B sales.
To get you started you look at the following questions then later provide your insights in an effort
to answer the research question.
● Which branch had the highest gross income?
● Which branch was the top-rated?
● Which branch was the lowest-rated?
● Should the company spend more costs on advertising to normal clients or clients who
are members?
● What type of products should the company focus on increasing sales?
● Should the company invest in their own payments systems if they are outsourcing all
payment methods?
Remember: What matters the most is what your insights mean to the business. Make sure to
have a section where you elaborate on how your analysis findings tie to your recommendations.
You have been provided with the following retail dataset script.
The growth of retail supermarkets in most populated cities is increasing and market competitions are also high. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset.
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