The Role of Big Data Analytics in Financial Fraud Detection: A Systematic Literature Review

Key Points

• This review examines how big data analytics contributes to improving the accuracy of financial fraud detection.
• Conducted a systematic literature review of existing studies on financial fraud detection and big data analytics.
• Identified primary users of fraud detection technologies, including auditors and regulators.
• Analyzed the role of predictive analytics and data integration in enhancing fraud detection methods.
• Big data analytics significantly improves fraud detection accuracy.
• Predictive analytics is the most commonly used method in fraud detection practices.
• Data integration techniques help in reducing information asymmetry.