While great in theory, the true value of audit data analytics (ADAs) comes from their successful use in the audit process. In Part 2 of our series, we will provide an overview of the types of substantive audit procedures that ADAs can assist in performing. We'll review how auditors can employ ADA tools when performing critical anti-fraud and substantiation audit procedures, such as matching, grouping, filtering, anomaly detection, clustering, keyword search, and visualization (drill down) audit techniques. We'll then discuss actual examples of ADA tests developed using Agile principles and identify the various stages of ADA implementation and best practices for their use in the audit.
Lastly, we'll provide in-depth examples of the usage of the following technologies
Journal Entry Testing- using Team Mate Analytics
Common Sizing- using Power BI, DAX formulas
Backlog of future tests to be implemented- prioritized by importance to the audits
Individual webcastCPE Credit:
This course is being offered by a 3rd party vendor and will not be accessible on your My CPE page. Webinar access information will be emailed directly to you by Surgent McCoy.