Definition
Data Analytics for Fraud Detection refers to the use of structured and systematic data analysis techniques to identify anomalies, patterns, and indicators related to fraud.
Context
Data Analytics for Fraud Detection is a key component of fraud risk management, internal audit, and compliance programs. It enables the analysis of large and complex datasets to identify red flags, unusual transaction patterns, and control weaknesses.
Meaning
Data Analytics for Fraud Detection enables scalable, full-population testing and significantly enhances the effectiveness and precision of fraud detection.
Example
Matching vendor and employee data to identify overlaps or conflicts of interest.
Sources
Suggested citation
wirtschaftsforensik.ch Editorial Team: "Data Analytics for Fraud Detection", in: Glossary, wirtschaftsforensik.ch, https://wirtschaftsforensik.ch/glossar/data-analytics-for-fraud-detection/, accessed April 18, 2026.