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Data-Driven Auditing: A Predictive Modeling Approach To Fraud Detection and Classification by Nitin Singh is a document available to read on EtoBox.

What is Data-Driven Auditing: A Predictive Modeling Approach To Fraud Detection and Classification about?

This document discusses using predictive modeling for fraud detection and classification in auditing. It proposes a model that can identify anomalous transactions in real-time to focus audit investigations. The approach supplements existing rule-based models and could help reduce costs and improve efficiency compared to traditional auditing. The implications and benefits of data-driven auditing are also examined.

Author

Nitin Singh

Language

EN