Effectively overseeing data analytics -a non-technical course for managers

• Learn about the key data analytics approaches that your auditors use. 
• Understand why these techniques are crucial for reliable and consistent audits.
• Learn how to document analytics so that the audit team can progress towards being data self-sufficient
• Understand how to review and assess the analytics being undertaken by the team.

• the case for data analytics in internal audit
• an explanation of the data analytics process
• understanding data sources for internal audit, including alternative datasets
• high level understanding of data, data structures and data terminology
• explore key data practices and techniques that auditors should be using
• the data analysis lifecycle and how this relates to the audit process
• good analytics practice for audit planning
• good analytics practice for requesting data  
• good analytics practice for audit testing
• good analytics practice for audit reporting
• how to set up a quality assurance process over your data analytics

For each stage of the audit, we will explore good / recommended practice, practical advice to spot good practice not being followed, and tips on making the best use of analytics.

• Performance (engagement fieldwork)
• Environment (information technology)
• Leadership and Communication (communication)