Project Title:
Crunching Numbers, Boosting Sales
Project Overview:
Our team developed this project as a part of the BAMA 517 course at UBC Sauder School of Business. The primary objective was to delve into two distinct datasets from a supermarket chain and derive actionable marketing insights.
Data Utilized:
The project hinges on the analysis of two key datasets: QVI_purchase_behaviour.csv - This file encompasses detailed customer demographics and buying patterns. QVI_transaction_data.xlsx - This dataset provides a comprehensive look at chip purchases, capturing various aspects of consumer transactions.
Repository Contents:
Final Analyis.ipynb: A Jupyter notebook that outlines our methodology, key findings, and strategic marketing recommendations.
Contributors:
ALisa Wu, Christi Mariam, Gagandeep Singh, Shivang Galati, and Young Ji Tuen.