3 Data-Driven Strategies for Better Fraud Detection
This SAP Concur blog post discusses data-driven strategies for detecting employee expense fraud. Ford Motor Company and CenterPoint Energy share how they integrate p-card data, review expense reports in all investigations, and use automated tools to analyze 100% of transactions. The article emphasizes the importance of data integration and automation in reducing fraud risk.
Impact and considerations
Fraud risk rises with more spending channels; data integration and automated auditing are effective controls.
Key points
- Ford and CenterPoint Energy share fraud detection experiences.
- Integrating p-card data with expense reports reveals red flags.
- Automated tools analyze 100% of transactions and flag risks.
- Data-driven audits reduce compliance risks.
Sources and time
- Primary source
- SAP Concur
- Other sources
- 0
- First source publication
- 29 Jun 2022, 19:47
- Page published
- 15 Aug 2026, 08:29
- Last updated
- 29 Jun 2022, 19:47
- Original links
- SAP Concur Blog：3 Data-Driven Strategies for Better Fraud Detection (opens in a new tab)Primary source · en · Published 29 Jun 2022, 19:47