This project was based on a 2240 rows & 29 columns of datasets, which each rows represents a customer. The analysis will be much useful especially for the supermarket decision-maker and stakeholder to improve their customer's and products knowledge more comprehensively based on data. The goals of this projects are:
- Determines factors that influence sales the most
- Customer's segmentation using RFM (Recency, Frequency, Monetary) analysis
- Makes actionable recommendation
Visualizations of this analysis was also made on Tableau