COURSE OVERVIEW

 This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using “MS-Excel” application. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Data Analytics in Internal Audit. It covers the data analytics in internal audit and types and sources of audit data; the audit planning with data analytics, analytical techniques and data quality and integrity for auditors; the data extraction techniques, data cleansing and transformation and data profiling and initial analysis; the sampling methods in audit analytics using Excel for basic audit analytics and Power BI for auditors; the revenue and receivables audits, procurement and payables audits, payroll and HR audits; and inventory and asset management audits, compliance and regulatory audits. 

 

During this interactive course, participants will learn the fraud detection and investigative analytics, trend analysis and forecasting for auditors and text analytics in auditing; the visual analytics and storytelling for internal audit, continuous auditing and monitoring and machine learning in internal audit; developing an analytics vision and identifying the roles and responsibilities in audit analytics; building an audit analytics roadmap and analytics skills in internal audit teams and reporting and communicating audit analytics results; and the organizational resistance to data-driven audit and change management strategies.