Introduction to Audit Analytics

We will have a guest speaker in this class, Lexi Ott, she will help us understand features of the current way in which data is utilized within an audit setting. Lexi Ott is a CPA in the EY Assurance practice, primarily working with technology and retail clients throughout the west coast. In her role at EY, she works on developing analytical tools, including data visualization tools and large data analyzers for audit teams to use on their engagements and supports overall digital strategy for engagement teams using data within their audits. She graduated from UW with a BA in Accounting in 2018 and from the UW MPAcc program in 2019. She was awarded the 2019 MPAcc Outstanding Student award within this program.

Why is this important?

This class is important as it will provide an inside look into the use of data ana audit analytics in a modern audit environment. We are currently introducing various elements of audit theory and practice to motivate our cases in assurance services, this class allows us to hear from a recent MPAcc graduate who is currently a manager at a big-4 accounting firm. The way in which data analytics is used are key in enhancing accuracy and efficiency in modern audits.

Materials:

Case: There is no case for this class.
No slides are available for this class.
Data: A data update may be required for this class. To ensure your files are the most up-to-date, navigate to ACCTG521_Labs folder and run the command git pull.
Analytics Tools: Git and GitHub

Review and Extension:

This class provides an introduction to the use of audit analytics and highlights the importance of the analytical mindset and data analytic skillsets.

Preparation:

1. There is no required preparation for this class.
2. Please note that the slides for this class will not be distributed and the class will not be recorded to allow our speaker to share more openly.
3. If you miss this class, you are welcome to make an appointment with me to discuss the material.

Class Plan:

Teams: during this class, please sit in your discussion teams.

1. Our guest speaker will present material and there will be time for questions.
2. When there are opportunities to ask questions, remember to ask questions that are on topic, especially questions about the data model.