Data Analytics, Continuous Auditing and Audit Automation Course

Applying a technology-enabled approach to auditing
• Data analytics overview
• Business case for data analytics and automation
• Pros and cons of common data analysis technologies
• Common data analysis techniques and methods
• Integrating data analytics across the audit process

Data analysis process and analytic development lifecycle
• Define problem, scope and DA objectives
• Locating, understanding and obtaining data
• Validating, transforming and preparing data
• Running modelling procedures, routines and visualizations
• Interpreting and validating results
• Reporting findings and conclusions
• Refining / sustaining analytics for future problems

Implementing sustainable practices
• Making analytics repetitive
• Developing appropriate standards
• Data analytics libraries and audit marts
• Leveraging external data sources
• Risk scoring entities and transactional data
• Dashboards, scorecards and visual analytics
• Spatial relationships and mapping
• Predictive analytics

Evolving to Continuous Auditing (CA)
• Assurance and the multiple lines of defence
• Fundamentals of Continuous Auditing
• Traditional auditing vs continuous auditing
• Business case for Continuous Audit
• Skill and technology requirements
• Changes to data extraction, data analytic logic and technical documentation
• Effect on audit process
• Considerations for reporting and audit documentation
• Best practices and case studies

Developing a sustainable strategy for technology-enabled auditing
• Common implementation hurdles
• Change management: addressing people and process issues
• Technology planning
• Components of an effective data analytics program
• Developing the data analytics strategy
• Implementation planning and program management

FOR WHOM
Chief Audit Executives, Internal Audit Heads, Managers, Supervisors and Lead Auditors from the private, public and not-for-profit sectors or anyone performing data analysis techniques.

1ST BATCH: Tuesday, April 21, 2026 — Friday, April 24, 2026.

2ND BATCH: Tuesday, August 11, 2026 — Friday, August 14, 2026.

3RD BATCH: Tuesday, December 8, 2026 — Friday, December 11, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.