Trends in Fraud Detection Systems

Requirements Clarification & Assessment

1. Understanding the Charts

   • Types of Charts: Identify the types of charts provided (e.g., line charts, bar graphs, heat maps, etc.).
   • Data Metrics: Clarify which metrics are depicted (e.g., number of fraud cases, loss amounts, detection timeframes).
   • Time Frame: Confirm the time range covered by the charts to understand the context of trends.

2. Fraud Detection Context

   • Industry Specifics: Determine if the fraud detection system is tailored to a specific industry (e.g., banking, e-commerce).
   • Fraud Types: Understand the types of fraud being analyzed (e.g., identity theft, transaction fraud, account takeover).

3. Objective of Analysis

   • Insight Goals: Define what constitutes critical insights (e.g., rising fraud patterns, seasonal spikes).
   • Strategy Enhancement: Clarify how these insights aim to improve existing fraud detection strategies (e.g., real-time alerts, predictive modeling).