Retail Fraud Analysis

Business Gap & Problem

Retail businesses suffer significant financial losses through fraudulent transactions and ineffective fraud monitoring. Without clear visibility, organizations struggle to identify where fraud occurs, understand the behavioral indicators tied to suspicious transactions, and translate data into practical risk management recommendations.

Solution

Built an end-to-end retail fraud analytics solution to analyze high-volume transaction logs, track suspicious activity flags, and present actionable risk intelligence through a multi-page Power BI dashboard.

Page-by-Page Dashboard Breakdown

1. Overview Page

Purpose: Serves as the high-level financial command center, tracking overall enterprise revenue against fraud exposure and categorizing risk tiers.

Key Metrics & Visuals: Displays top-level KPI cards for Total Revenue ($12.04M), Fraud Loss ($6.95M), Net Revenue ($5.09M), and Total Transactions (100k). Features a fraud indicators matrix, regional fraud breakdown across top countries, transaction amount trends by fraud over time, domestic vs. international transaction distribution, and a risk level analysis chart categorizing exposure into Low, Medium, and High risk.

2. Detection Page

Purpose: Focuses deeply on transaction-level detection mechanics, velocity flags, and vulnerable merchant or payment categories.

Key Metrics & Visuals: Highlights fraud change metrics year-over-year (+52.44%) and a global fraud rate gauge (47.51%). Includes a transaction frequency matrix, fraud revenue by payment method (spanning Google Pay, Debit Card, Credit Card, PayPal, and Apple Pay), fraud revenue across merchant categories (Fashion, Luxury, Gaming, Travel, Groceries, Electronics), and a breakdown of fraud by account age.

3. Recommendations Page

Purpose: Translates complex analytical findings into an executive-ready summary and actionable risk mitigation strategies.

Key Metrics & Visuals: Features a structured Executive Summary detailing financial exposure across risk tiers (noting that Medium Risk carries the highest exposure at $7.1M) and a targeted Recommendation section advising management to strengthen medium-risk monitoring, review specific payment methods, enhance international verification steps, and track multi-indicator accounts.