Programme Objective

This workshop aims to build a strong foundation of data analytical skills in the audit of financial statements through the development of an analytics mindset. It reviews the types of financial statement misstatements and examples of data analytics tests to detect the anomalies in accounts such as sales, accounts receivable, purchases, accounts payable, payroll and fixed assets. The workshop takes an experiential learning approach where participants apply their knowledge of analytical tests to real data sets and scenarios to uncover trends and patterns in the data.

Programme Outline

• Key principles set out in AGS 13
• Types of data analysis techniques for risk assessment and performance of further audit procedures
• Data analytics tests in auditing
  • sales and accounts receivable
  • purchases and accounts payable
  • payroll
• fixed assets

Learning Outcome

On completion of this program participants will:

• Understand the key principles in AGS 13;
• Know how to integrate data analytics tests into audit risk assessment through a library of test examples;
• Understand the different types of data analysis techniques such as duplicate testing, matching, gap testing and rule-based analytics, Benford's Law analysis etc; and
• Perform data analytics tests in auditing the financial statements.

Training Methodology

Seminar style with case studies and activities

Closing Date for Registration

3 working days before the programme

Intended For

External Auditors with 0-3 years’ experience.

Programme Facilitator(s)