Fraudulent activities in financial transactions present significant challenges to businesses, leading to financial losses, damaged reputations, and compromised customer trust. This project aims to develop a fraud detection tracker that leverages data analysis to identify fraudulent transactions. By utilizing SQL for data analysis and Power BI for visualization.