Data Analysis for Internal Auditing

Course Methodology

Through group exercises, case studies and real-time data bundles, participants will turn raw data into knowledge to understand patterns and identify red flags, or deviations from procedures and standards. Moreover, participants will go through several audit sampling techniques that will help them develop representative and efficient sample sizes that can be applied in their day-to-day missions.

Course Objectives

By the end of the course, participants will be able to:

• Demonstrate a comprehensive understanding of data analysis techniques
• Understand the impact of data analysis on audit sampling
• Use statistical tools to analyze information, manipulate data and conduct audit sampling
• Apply different audit sampling methods to different scenarios
• Identify data anomalies and deviations in audit results to simplify the reporting process

Target Audience

This course is suitable for all Internal Auditors, and those involved in the internal auditing process including, but not limited to, internal controllers, risk officers, external auditors and compliance officers from all levels.

Target Competencies

• Data mining
• Mitigating risks
• Data analysis
• Understanding trends
• Searching for anomalies