Methods in Audit Data Analytics: Case Studies


Methods in Audit Data Analytics: Case Studies Overview
In this course, participants examine real-world case studies demonstrating how various techniques are used to detect fraud, misuse, inefficiencies, and recover funds. The course covers data integrity, data quality, and data integration, and will familiarize learners with identifying structured vs. unstructured data, intersecting data, and developing a systematic process of analysis. Learners will learn how to efficiently extract business insights from data, visually communicate those insights to their stakeholders, and apply these techniques to audit plans, tests, and other audit components. The course introduces learners to artificial intelligence, machine learning, the rise of quantum computing, and how these will impact the future of auditing. Topics covered include a historical perspective to data analytics, modern tools, understanding the structure of flat data files, and understanding the audit perspective. This course also includes finding fraud, predictive analytics, and accelerated learning techniques. Who Should Attend Compliance Officers, Audit Managers and Directors, Financial, Operational, and IT Auditors, and key operational personnel.
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WEBVTT (Music) Welcome to our course on methods in audit data analytics, case studies. In this course, you'll study case studies to understand how to detect fraud and recover funds using data integrity, quality, and integration. You'll learn to differentiate between structured and unstructured data, develop a systematic analysis process, and gain skills in extracting and visually communicating insights from data. Application of these techniques to audit components is also a significant part of the course. You'll be introduced to the impact of artificial intelligence, machine learning, and quantum computing on auditing. The curriculum encompasses historical and modern data analytic tools, understanding of flat data file structures, audit perspective, fraud detection, and predictive analytics. It's designed for compliance officers, audit managers, directors, financial, operational, and IT auditors, and key operational personnel. Successful completion of the course earns four CPE credits, so let's get started. (Music)

Learning Style

On Demand





Who this course is for

Compliance Officers, Audit Managers and Directors, Financial, Operational, and IT Auditors, and key operational personnel.

NASBA Certified CPE

4 credits

Field of Study


Length of course




Advanced Preparation

8 Episodes

Here are the topics we'll cover

  • Course Overview
  • Introducing Case Studies for Data Analytics
Learning Options

Options for this course

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ACI Learning is registered with NASBA

ACI Learning is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: