During the past five or so years, surveys of senior professionals in the areas of audit, risk management, compliance, and fraud detection have consistently shown that increased use of technology is considered to be a critical factor for successful performance. More specifically, the surveys have found that data analysis software is the technology that is expected to have the greatest impact on effectiveness and productivity.
So, how, in practice, can data analysis software be used to improve and automate fraud detection processes and support overall risk management? This white paper identifies some of the key issues in implementing a fraud detection program and provides examples of fraud detection tests for common business process areas.
This white paper will cover:
- The role of data analysis in fraud detection
- Automation of fraud detection analytics and continuous monitoring
- Example fraud tests for key business process areas
