Methods in Audit Data Analytics: Case Studies
Apply audit analytics through cases that reveal fraud, inefficiency, and risk
PHHMCreated by Sophie Goodwin, Phil Hurd, Hernan Murdock
Explore how audit analytics can uncover fraud, inefficiency, and risk by working through real-world case studies. You'll learn to assess data integrity, analyze both structured and unstructured sources, and use modern tools like predictive analytics and visualization. The course also introduces AI, machine learning, and quantum computing as they relate to audit work.
ACI | 135 min
What You Will Learn
You'll work through practical cases that show how audit analytics can reveal issues and opportunities. Each section focuses on applying specific techniques, from checking data quality to using visualization for clear communication. You'll also look ahead to how new technologies are changing the audit field.
Key Features
- Apply analytics to real audit cases to detect fraud, inefficiency, and risk
- Evaluate data quality and work with both structured and unstructured data
- Explore predictive analytics, AI, and machine learning in audit scenarios
Target Audience
This course is ideal for compliance officers, audit managers, financial and IT auditors, risk professionals, and analysts who want to see audit analytics in action. If you have some experience with auditing and want to strengthen your skills in data analysis, visualization, and emerging technologies, you'll find these case-based examples especially useful.
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