New Print, eBook, and McGraw Hill Connect® Evergreen™ Release
Elevate your accounting courses with insights from authors Vern Richardson, Katie Terrell, and Ryan Teeter.
Discover how Introduction to Data Analytics for Accounting enhances teaching and learning through innovative resources and continuous updates across Print, eBook, and Connect formats.
Key Enhancements:
Guided by the AMPS model—Ask the Question, Master the Data, Perform the Analysis, and Share the Story—the text continues to foster an analytics mindset critical for today’s accounting professionals.
Learn how McGraw Hill’s Evergreen Delivery Model keeps your course efficient, relevant, and engaging—helping you bring the latest in data analytics and AI-driven instruction to your classroom.
Vernon J. Richardson is a distinguished professor of Accounting and the G. William Glezen chair in the Sam M. Walton College of Business at the University of Arkansas and a visiting professor at Baruch College. He received his BS, Master’s of Accountancy, and MBA from Brigham Young University and a PhD in Accounting from the University of Illinois at Urbana-Champaign. He has taught at top universities across the U.S. and internationally, including institutions in China, Denmark, Australia, and Ghana, bringing global insight to his instruction. Dr. Vern Richardson is a distinguished accounting scholar and textbook author who has served in key editorial roles and published extensively in top academic journals. He specializes in data analytics and information systems, coauthoring widely adopted textbooks that bridge theory and practice in accounting and business analytics.
Ryan Teeter is a technologist, data analyst, and accountant. He has coauthored several textbooks including Data Analytics for Accounting and Introduction to Data Analytics for Accounting with McGraw-Hill. He has worked with companies, such as Procter & Gamble and Siemens, to implement automated auditing controls testing and conducts research in remote audit, audit automation, data analytics, and artificial intelligence. As a clinical faculty, he brings real-world data analytics cases and data-driven instruction into accounting courses that include Managerial Accounting, Intermediate Financial Reporting, Auditing, Accounting Information Systems, and Accounting Data Analytics. Additionally, he travels with College of Business Administration and Swanson School of Engineering students to Costa Rica each May to study the supply chain of tropical agriculture as part of the Plus3 program. Ryan is an advocate for discerning use of technology tools to enhance learning and works with his colleagues to raise the bar of the post-pandemic classroom experience.
Katie L. Terrell is an instructor in the Sam M. Walton College of Business at the University of Arkansas. In addition to teaching at the University of Arkansas, she has taught students around the world, including at Soochow University in China, University College Dublin in Ireland, and Duoc UC, a branch of the Catholic University of Chile. Named the 2019 Business Professional of the Year (Education) by the national Beta Alpha Psi organization, she was also the recipient of the Mark Chain/FSA Teaching Award for innovative graduate-level accounting teaching practices in 2016. She has worked with Tyson Foods, where she held various information system roles, focusing on business analysis, project management for ERP implementations and upgrades, and organizational change management. She is a coauthor of McGraw Hill textbooks Data Analytics for Accounting and Introduction to Data Analytics for Accounting.
Katie, along with her author team, was the recipient of the 2022 Annual Innovation in Accounting Award presented by the American Accounting Association and the Ernst & Young Foundation for their McGraw Hill textbooks. The annual Innovation in Accounting Education Award is intended to encourage innovation and improvement in accounting education. It recognizes significant programmatic changes or a significant activity, concept, or set of educational materials. Submissions are judged by their innovation, demonstrated educational benefits, and adaptability by other academic institutions or to other situations.