Internal Audit Professional Series - Module 16: Data Analytics in Audit

Leverage data analytics tools and techniques to enhance audit coverage, identify anomalies, and transform audit effectiveness.

This is Module 16 of the 18-part Internal Audit Professional Series, delivering essential analytics skills for modern auditing.

📚 WHAT YOU'LL LEARN:

✓ Analytics Fundamentals — Understanding data analytics in audit context

✓ Data Analytics Process — From data acquisition to insight delivery

✓ Descriptive Analytics — Summarizing and visualizing data

✓ Diagnostic Analytics — Understanding why events occurred

✓ Predictive Analytics — Forecasting future outcomes

✓ Anomaly Detection — Identifying outliers and exceptions

✓ Continuous Auditing — Real-time monitoring approaches

✓ CAATs — Computer-Assisted Audit Techniques

✓ Visualization Tools — Presenting analytics results effectively

✓ Analytics Program Development — Building organizational capability

📦 WHAT'S INCLUDED:

- 45 Professional Presentation Slides

- 8 Ready-to-Use Templates:

- Analytics Planning Worksheet

- Data Request Template

- Analytics Test Library

- Anomaly Investigation Guide

- Continuous Auditing Framework

- CAAT Selection Matrix

- Visualization Best Practices

- Analytics Program Roadmap

🎯 WHO IS THIS FOR:

- Internal auditors building analytics skills

- Data-focused audit professionals

- CAEs implementing analytics programs

- IT auditors leveraging data tools

- Organizations modernizing audit approaches

✅ GIAS 2024 ALIGNED | TECHNOLOGY-ENABLED AUDITING

💼 CREATED BY: Amer Morgan, CIA, CRMA, CFE — 30+ years audit leadership experience