Data Analytics for Internal Auditors

Section One: 

• Concepts of big data
• Transforming data analytics to business
• Internal Auditor's function through the use of data and analytics
• Use of Data through the Audit Lifecycle
• Identify how data analytics can transform all parts of the audit lifecycle, from planning, risk assessment, execution, reporting, and through to monitoring
• Q&A 
• Review

Section Two:

• Recognising the data analytics maturity continuum
• Collecting and enriching data can be used for analysis,
• Understanding the audit environment better
• Identifying risks during the planning
• Q&A 
• Review

Section Three:

• Different types of analytics
• Descriptive, predictive, and prescriptive analytics
• Analytical techniques to auditing a business process
• The use of advanced analytics, such as machine learning, within audit testing
• Q&A 
• Review

Section Four:

• How to build the strategy around a data-enabled Internal Auditor function, considering people, process and technology
• The Landscape of tools applicable to data auditing
• Q&A 
• Review

Section Five:

• Methods to create impact and the business case for data analytics
• Identify areas within your existing IA function that can be improved via data analytics
• Wrap Up