This series, which began with 541,909 rows of purchase data, has finally reached its final installment. In the first installment, we viewed 4,338 customers as three "clusters" using RFM and K-Means.
An end-to-end E-Commerce Finance Analytics pipeline converting raw transactional data into KPIs and visual insights.
This project is a Data Analytics and Business Intelligence pipeline designed to understand e-commerce customer behavior. It takes raw customer transaction data and uses RFM (Recency, Frequency, ...
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