lydinton999/Fraud-Analysis

This fraud analysis dashboard provides a comprehensive overview of fraudulent activities within different regions in Nigeria, focusing on identifying high-risk areas, affected device models, and temporal trends in fraud occurrences. Designed for quick, data-driven decision-making. # Fraud-Analysis The Fraud Analysis Dashboard for Nigeria reveals critical insights into fraudulent activities by region, device type, and month. Key findings show that the Suwami region has the highest outstanding loan balance, indicating significant financial exposure. The Tecno Ck6 phone model is most commonly associated with fraud, suggesting potential targeting or vulnerability. Fraud peaks in February, signaling a need for heightened monitoring and preventative measures during this period. Additionally, a considerable number of cases remain uninvestigated, pointing to a resource gap in fraud investigation. These insights enable stakeholders to allocate resources strategically, target high-risk areas, and address seasonal fraud trends effectively. ### Fraud Analysis Document: Excel file for analysis ## Overview - **Purpose**: The dashboard is designed to analyze fraudulent activity across different regions, phone models, and time periods in Nigeria. - **Objective**: To provide insights into fraud patterns for improved risk management, focusing on regions, devices, loan balances, and monthly trends. ## Data Sources - Description of data sources used (e.g., transaction logs, customer data, regional information). - Frequency of data updates (e.g., monthly). - Data cleaning and preprocessing methods are used to ensure accuracy. ## Key Metrics and Visual Elements - **Outstanding Loan Balance**: Displays the total loan balance associated with each region, with the highest in Suwami. - **Most Affected Phone Model**: Highlights "Tecno Ck6" as the most common model associated with fraudulent activity. - **Most Affected Month**: February shows the highest fraud activity, helping to focus preventive measures. - **Highly Affected by Fraud (Region)**: A bar chart depicting the percentage of cases marked as confirmed fraud, confirmed not fraud, and not investigated across regions. - **Most Affected Phone Model & Region**: A count of fraud cases segmented by ph …