PROGRAM DETAILS

Introduction

The role of internal audit has expanded significantly in recent years, and it has become increasingly important for internal auditors to embrace technology and data analytics in their audit processes. The ability to extract insights from data can help internal auditors identify and assess risks more effectively, provide deeper insights into business operations, and ultimately enhance audit quality.

The “Implementing Data Analytics in Internal Audit” training program is designed to provide internal auditors with the knowledge, skills, and tools needed to effectively use data analytics in their audit processes. The program will cover data analytics concepts and terminology, data visualization techniques, data quality and cleaning techniques, and advanced data analytics techniques such as predictive analytics, machine learning, and artificial intelligence.

Participants will also learn how to apply data analytics to specific audit areas such as financial, operational, and IT audits. They will gain practical experience through hands-on exercises and case studies, and learn how to build a data analytics strategy for their internal audit function.

Upon completion of the training program, participants will have a solid understanding of data analytics in the internal audit process and be equipped with the tools and techniques needed to apply data analytics to their own audit work.

Learning Objectives:

By the end of the training program, participants will be able to:

• Understand the role of data analytics in the internal audit process
• Identify areas where data analytics can be applied in the audit process
• Apply data analytics tools and techniques in different phases of the audit process
• Interpret and communicate findings from data analytics to stakeholders
• Implement a data-driven approach to internal audit 

Training Methodology: The training will be delivered through a combination of lectures, case studies, group discussions, and practical exercises. Participants will work on real-life scenarios to develop a practical understanding of data analytics tools and techniques in the internal audit process. 

Target Audience:

This training program is intended for internal auditors, audit managers, and other professionals who want to enhance their knowledge and skills in using data analytics in the audit process. 

Program Content :

Day 1: Introduction to Data Analytics in Internal Audit

• Overview of data analytics in internal audit
• Benefits of using data analytics in internal audit
• Types of data analytics techniques
• Common challenges in implementing data analytics in internal audit

Day 2: Planning and Scoping Audit with Data Analytics

• Planning and scoping an audit with data analytics
• Identifying audit objectives and risks
• Developing audit programs for data analytics
• Collecting and preparing data for analysis

Day 3: Data Analytics Techniques for Testing

• Sampling techniques for data analytics
• Data analysis tools and techniques
• Trend analysis and pattern identification
• Use of statistical analysis in internal audit

Day 4: Data Analytics Techniques for Fraud Detection

• Identifying fraud risks and indicators
• Using data analytics in fraud detection
• Fraud data visualization techniques
• Fraud detection case studies

Day 5: Communicating Data Analytics Results

• Techniques for presenting data analytics results
• Reporting audit findings using data analytics
• Communicating data analytics results to stakeholders
• Best practices for implementing data analytics in internal audit