Data Mining Techniques for Fraud Analytics

الموضوعات والوحدات الرئيسية

• Fraud indicators
• Data preparation
• Anomaly detection
• False positives
• Investigation handover
• Case exercise: applying data preparation
• Case exercise: decisions and limits in false positives
• Evidence review: checking investigation handover
• Practical workshop: developing the fraud analytics triage workbook

الفئة المستهدفة

• Data analysts
• Digital transformation managers
• Business analysts
• Operations managers
• Technology leads

القطاعات ذات الصلة

Manufacturing, Financial services, Retail, Energy, Professional services

القيمة في مكان العمل

• Provide teams with a fraud analytics triage workbook to support consistent decisions and clearer handovers.
• Strengthen review of false positives and investigation handover using the course exercises and documented findings.
• Support performance follow-up through a defined measure: alerts reviewed with supporting evidence.

اعتبارات التقييم والالتحاق

الالتحاق والاعتراف: The proposed duration covers BEMCON learning delivery. It does not establish an external qualification, personnel certification or operating licence.