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"Business Insights from Transaction Data" is a Python project for e-commerce and financial services to optimize customer funnel and KPIs. It involves creating synthetic data to model realistic transaction and customer data, which is then analyzed and visualized to support data-driven decision making.
This topic is often underestimated. But people often don't really know when they are asked "What kind of KPI that suitable for this case and that case? How to calculate it?". Read the answer in this repository
Final Project of Information System and Business Intelligence course
This project aims to provide suggestions to increase profit on Adidas products across USA. ANOVA was used to check statistical significance.