Equipment & System Setup
To optimize the learning experience, all participants are required to be equipped with working laptop and cable, with Microsoft excel 2016 or later installed for the course.

Programme Objective

The objective of this 1-day course is to provide guidance to the participants in adopting data analytics in the audit of financial statements with reference to Audit Guidance Statement, AGS 13.

Upon completion of this course, the participant will be able to:

• Understand the principles of AGS 13
• Understand the Data Analytics (DA) process
• Apply DA in different phases of the audit using commonly available tool(s)
• Understand how to document the audit work when adopting DA
• Understand the benefits and challenges in adopting DA and how to overcome some of those challenges

Programme Outline

AM Session

• Scope of AGS 13
• Definition
• Types of data analytics
• DA in different phases of the audit
• Considerations prior to the use of DA
• Preparing data for use
• 5-step approach in using DA in a financial statements audit
• Documentation considerations

PM Session

• Practical examples in the use of DA in:
  • Risk Assessment Process
  • Substantive Analytical Procedures
  • Test of Details
• Benefits of adopting DA
• Challenges in adopting DA

Training Methodology 
Full day physical lecture style with hands-on application using case studies.
 

Closing Date for Registration
1 week before programme or until full enrolment

Intended For

Audit professionals & practitioners

Competency Mapping

Category 3 = 2.50 Hours
Category 5 = 4.50 Hours

Programme Facilitator(s)