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Using Data Analytics to Transform Audit

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Date(s): May 03, 2023 - May 04, 2023
Time: 8:00AM - 4:30PM
Registration Fee: $349.00
Cancellation Date: Apr 26, 2023
City: Austin
Parking Info:

Parking for SAO, Professional Development courses is in Garage B (1511 San Jacinto Blvd.). The Garage signage may read 1511 San Jacinto or Garage B. The elevator in Garage B is not reliable. If you are unable to walk the stairs, please contact the for alternate parking arrangements. Handicapped parking is free at the meters around the downtown area.

A course coordinator will Email you a parking permit prior to the course start date. A permit must be displayed or you will be ticketed.

Course Description

Data analytics programs are an excellent opportunity for audit functions to truly add value to their organizations by enhancing assurance for audits, expanding coverage, enabling fraud detection and reducing efforts for Sarbanes-Oxley. Good programs help audit functions to be efficient, scalable, reduce errors and provide greater audit and fraud coverage. However, implementing and expanding a program can be challenging. A successful program requires many different skills sets and rarely does a single individual possess all the necessary skills. Proficiency with a data analytics tool is only one piece of the puzzle. Leveraging the knowledge of the entire audit team is what makes data analytics programs successful. That requires educating the entire team on data analytics – what a program can provide, and what will make it valuable for audit and the organization. This course will help auditors understand what data analytics can do, what is required for a successful program, what areas to targeted, and most importantly, why everyone’s skills and knowledge are needed. Participants will learn interactively through a combination of lecture, case studies, demonstrations, and exercises.

Potential CPE Credits: 16.0
Govt Hours: This class meets 16.0 hours of the 24-hour requirement for governmental CPE under Government Auditing Standards (yellow book), in most cases.
Technical Hours: This class meets 16.0 CPE credits of technical training in compliance with Texas Admin. Code Rule 523.102.

Instruction Type: Live
Experience Level: ALL
Category: Auditing

Course Objectives

Upon completion of this course, participants will be able to:

- Understanding data analytics concepts

- Understanding continuous auditing and continuous monitoring

- Identifying how data analytics adds value and efficiency to your audits

- Learning how to implement data analytics programs and overcoming the common challenges

- Understanding databases, schemas, entities, attributes, tables, fields, etc.

- Learning data analytics fundamental approaches and some advanced techniques

- Learning how to present your findings in a compelling manner


No prerequisites required.

YB 4.23(p)


Keith Barber

Keith Barber is a Partner with Verracy, formerly Empower Audit Training & Consulting, responsible for Data Analytics Insight, where he specializes in data analytics training, data analytics program implementations, and advancing data analytics programs.


Mr. Barber has extensive experience helping clients solve complex data issues using various software tools. His professional expertise includes data analytics, IT audit, fraud detection, automated control monitoring, the use of Business Intelligence to support strategic decision making, and personnel/project management. During his tenure with the Big 4, Mr. Barber delivered a number of audit data analytics projects in support of financial audit, tax engagements, business risk and IT engagements.


As a Corporate Audit Manager of Data Analytics for a financial services company, Mr. Barber built a world class data analytics program encompassing real-time risk analysis scorecards, sophisticated continuous auditing and monitoring, automated action item tracking and automated a significant amount of the SOX testing. Over the course of his career, his technical expertise and seasoned judgment were key to satisfying client needs, including delivering the right level of customization to ensure that clients received the highest value for their investment. In one instance, Mr. Barber used data analytics to identify and quantify evidence of a $5 million fraud. The evidence provided the board and management with concrete evidence of fraud and facilitated recovery of the funds.


In addition to Mr. Barber’s hands on experience, has trained and developed hundreds of data analysts through training courses he writes and teaches. He has helped organically develop several data analytic programs from the ground up through teaching and training employees within prior organizations.


Mr. Barber received his BS in Computer Science from Madonna University. He is a Certified Information Systems Auditor (CISA), ACL Certified Data Analyst (ACDA) and an ACL Certified Trainer. He maintains memberships in the Institute of Internal Auditors (IIA), ISACA and The Association of Certified Fraud Examiners (ACFE). Mr. Barber has been a featured speaker at numerous industry conferences which has included: 2009 MISTI IT and Audit Controls Conference, 2015 IIA/ISACA GRC Conference, 2016 IIA All Star Conference, 2017 ISACA NACACS Conference, and the 2017 IIA Southern Regional Conference.

Additional Information

TAC Rule 523.142(g) requires the CPE Sponsor to monitor individual attendance and assign the correct number of CPE credits. Participants will be asked to document their time of arrival and departure in compliance with this Rule. Additionally, attendance will be monitored throughout the day and CPE certificates will reflect actual attendance of each participant.

If you are making travel plans to come to Austin, we recommend making "refundable" air and hotel reservations or waiting until 14 days before the class to actually book your reservations. Courses are occasionally canceled or rescheduled due to low enrollment. We determine whether a course has enough participants 16 days prior to the course date. If we cancel or reschedule, we will email the participant and his or her billing contact no later than 14 days before the original class date.

Vending machines with Coca-Cola products and various snack items are available. There is also a refrigerator and microwave in our coffee bar area. Feel free to bring in your own drinks and food if you prefer.

You might want to bring a light sweater or jacket, as room temperatures vary.

To see answers to our Frequently Asked Questions, visit

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