# Fraud KPI Dashboard

## Objective

Build a fraud monitoring dashboard to track key indicators such as fraud rate, transaction volume and total fraud value.

## Context

This project simulates a fraud prevention scenario in which operational and strategic KPIs are monitored to support decision-making.

## Technologies

- Python

- Pandas

- CSV

- Git/GitHub

## Metrics Monitored

- Total transactions

- Total fraud cases

- Fraud rate

- Total fraud amount

## Project Structure

- data/ → source dataset used in the analysis

- dashboard/ → Python script for KPI calculation and monitoring

- README.md → project documentation

## Key Insights

- Fraud rate helps monitor exposure over time

- Fraud volume and financial impact support prioritization

- KPI monitoring improves visibility for fraud prevention decisions

## Next Steps

- Add Power BI dashboard version

- Include time-based fraud trend analysis

- Expand business rules for risk monitoring