Fraud Detection: The Auditor's Mindset, Data Analytics and Analytical Techniques
How fraud auditors think, the data tests they run, trend and proportional analysis, and what to do when you find something.
Guides · editable Word · 6 pages · ₹99 / $0.99 · lifetime access, up to 5 downloads
Bring a fraud auditor's thinking and tools to your next assignment. The guide sets out four starting assumptions and the questions to keep asking, how fraud is traditionally detected, data analytics tests by category with a simple way to run one, trend analysis, proportional analysis and the review of operational and performance reports. It closes with what to do when a test turns up something unusual. Editable Word, 6 pages.
What's inside
- About this guide
- Key terms explained
- 1. The fraud auditor's mindset
- 2. How fraud is traditionally detected
- 3. Data analytics for fraud detection
- 4. Trend analysis
- 5. Proportional analysis
- 6. Reviewing operational and performance reports
- 7. When you find something
Topics: Fraud and Ethics · Internal Audit
Learn it on video
- The Auditor's Toolkit: Testing and Analysis Techniques (8 min)
- How to Test with Ratios, Trends and Correlation: Worked Examples (14 min)
- Case Study: How to Analyse Credit Limits and Data-Mine Purchase Orders (9 min)
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