Fraud Data Analytics: Anti-Bribery and Corruption, Financial Statements, and JEs
Detect fraud indicators through focused analytics and investigative follow-up
SDCreated by Lauren Deal, Sophie Goodwin, Steve DeSantis
Explore how to use data analytics to spot fraud indicators in anti-bribery, corruption, financial statements, and journal entries. Gain practical skills to design targeted tests, interpret results, and decide when to investigate further. Build confidence in connecting data patterns with real-world fraud risks.
ACI | Sep 2026 | 142 min
What You Will Learn
You will start by learning about common fraud schemes and the warning signs they create. Through real-world scenarios, you will practice designing analytics tests and interpreting results for different types of fraud. Each section builds your ability to connect findings with evidence and decide on next steps.
Key Features
- Spot red flags in anti-bribery, corruption, and financial statement data
- Design analytics tests to surface unusual transactions and risk patterns
- Interpret results and plan investigative follow-up using evidence-based methods
Target Audience
Ideal for auditors, fraud examiners, compliance professionals, and finance analysts with some experience in audit or fraud concepts. If you want to strengthen your ability to detect, investigate, and prevent fraud using data analytics, this course will help you apply structured testing to real transaction risks.
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