Guide to Audit Data Analytics
In your next financial statement audit, apply the benefits of audit data analytics. We worked with the profession’s leading experts to show you how.
Format
Subscription
Availability
1 year
- Introduction to using ADAs throughout the financial statement audit
- Illustrative examples of how to use an ADA in each phase of the audit (risk assessment, a test of details, substantive analytical procedures and forming an overall conclusion)
- Additional considerations for assessing the reliability of data
Step-by-step guidance from the experts
Think of audit data analytics (ADAs) as "the science and art of discovering and analyzing patterns; identifying anomalies; and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization."
Simply put, you can use ADAs to perform a variety of procedures to gather audit evidence in your next financial statement audit.
ADAs put into practice
Each chapter of the guide focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit.
Suggested considerations for assessing the reliability of data are also included in a separate appendix.
Get this guide for free.
Guide to Audit Data Analytics is included when you purchase the Analytical Procedures: Audit Guide.
Together, they show how analytics techniques can be applied to the audit while staying within the current auditing standards.
- Auditors performing and reporting on their audit engagements
- Auditors and those interested in learning more about ADAs and how to apply them to their financial statement audits
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