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.

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

• 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