Methods in Audit Data Analytics
Turn audit data into evidence for fraud detection, risk insight, and decisions
Created by Phil Hurd, Hernan Murdock
Explore practical audit data analytics techniques to uncover fraud, assess risk, and support business decisions. Move from data discovery and integrity checks to building queries, visualizations, and communicating findings. Real-world cases and emerging technologies help you connect analytics to audit outcomes.
ACI | 780 min
What You Will Learn
You will work through real-world audit scenarios, starting with data discovery and quality assessment. Step by step, you will learn to analyze both structured and unstructured data, build queries, create dashboards, and visualize results. The course wraps up with a look at how new technologies are shaping audit analytics.
Key Features
- Build end-to-end audit analytics workflows, from data discovery to dashboards
- Analyze real-world cases in payroll, HR, receivables, and fraud detection
- Explore predictive analytics, AI, and quantum computing for future audit practices
Target Audience
This course is designed for internal, financial, operational, and IT auditors, as well as audit managers, compliance officers, and risk professionals. If you already understand basic audit concepts and want to strengthen your analytics skills, you'll find practical methods, case studies, and future-focused insights to support your work.
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