About this programme

This course equips audit and assurance professionals with the knowledge and capabilities to apply data analytics in audit planning, execution, and reporting. It focuses on using audit data analytics tools and techniques to enhance audit quality, improve risk assessment, detect anomalies, and provide deeper insights. The course addresses the integration of data analytics into internal and external audit functions while supporting effective governance, compliance, and decision-making.

Duration

5 Days

Who Should Attend:

Internal and external auditors
Risk and compliance professionals
Finance managers and accountants
Internal control and assurance officers
Public sector and private sector audit staff

Learning outcomes

What you'll walk away with

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

Understand the role of data analytics in modern auditing
Apply audit data analytics techniques across the audit lifecycle
Use digital tools to identify risks, anomalies, and fraud indicators
Enhance audit planning, testing, and reporting through analytics
Support management and governance with data-driven audit insights

Course modules

What we cover, module by module

Module 1: Introduction to Audit Data Analytics

Evolution of auditing and analytics
Types of audit data and data sources
Benefits and limitations of audit analytics
Case Study: Audit failures due to limited data analysis
Practical: Identifying audit data sources within an organization

Module 2: Audit Planning & Risk Assessment Using Analytics

Risk-based auditing and analytics
Audit universe and data-driven scoping
Analytical procedures for risk assessment
Case Study: Using analytics to refine audit scope
Practical: Developing an analytics-based audit plan

Module 3: Audit Testing & Continuous Auditing

Full-population testing vs sampling
Continuous auditing and monitoring
Exception testing and trend analysis
Case Study: Detecting irregular transactions through analytics
Practical: Performing analytical tests on audit data

Module 4: Fraud Detection & Forensic Analytics

Fraud risk indicators and red flags
Benford’s Law and anomaly detection
Linking analytics to forensic investigations
Case Study: Fraud uncovered using data analytics
Practical: Designing fraud detection tests

Module 5: Audit Data Analytics Tools & Reporting

Overview of audit analytics tools (e.g. spreadsheets, audit software, BI tools)
Data visualization and dashboards for auditors
Communicating insights to management and audit committees
Case Study: Effective audit reporting using dashboards
Practical: Creating an audit analytics report and dashboard

Impact

Where the change lands

Personal Impact:

Enhanced analytical and digital audit skills
Improved professional judgment and audit efficiency
Increased confidence in using data-driven audit approaches

Organizational Impact:

Improved audit quality and coverage
Stronger fraud detection and risk management
Better governance and management decision support

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar

City	Starts	Ends	Delivery	Book
DakarNext	20 Jul 2026	24 Jul 2026	In-Person	Book
Johannesburg	20 Jul 2026	24 Jul 2026	In-Person	Book
Dar es Salaam	20 Jul 2026	24 Jul 2026	In-Person	Book
Nakuru	20 Jul 2026	24 Jul 2026	In-Person	Book
Pretoria	27 Jul 2026	31 Jul 2026	In-Person	Book
Kisumu	27 Jul 2026	31 Jul 2026	In-Person	Book