Fraud data analytics methodology
the fraud scenario approach to uncovering fraud in core business systems
- ISBN: 9781119186793
- Editorial: John Wiley & Sons, Inc.
- Fecha de la edición: 2017
- Lugar de la edición: West Sussex. Reino Unido
- Encuadernación: Cartoné
- Medidas: 23 cm
- Nº Pág.: 375
- Idiomas: Inglés
Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing.