Methods in Audit Data Analytics: Case Studies

Audit

IT Audit

Internal Audit

Length: 2h 15m modules icon

Modules: 2 episodes icon

Episodes: 8On DemandIntermediate4 CPE Credits

Course 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 This Course is For

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

Prerequisites

None

Advanced Preparation

None

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: https://www.nasbaregistry.org/

Attendance policy for on-demand, self-paced training

Students enrolled in on-demand, self-paced courses are expected to take an active role in their learning by progressing through the course materials in a timely and consistent manner. Because these courses are self-directed, full completion of all modules, videos, labs, and assessments with a passing score of 70 are required to receive credit and any applicable CPEs. Learners are encouraged to set a regular study schedule to stay on track and maximize comprehension. CPE credits will be awarded based on the total course hours and verified completion of all required activities.