Introduction to Data Analytics for Accounting ISE

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. Masters of Accountancy, and MBA from Brigham Young University and a PhD in accounting from the University of Illinois at Urbana-Champaign. He has taught students at the University of Arkansas, University of Illinois, Brigham Young University, and University of Kansas and internationally at Chinese University of Hong Kong Shenzhen, Aarhus University, the China Europe International Business School (Shanghai), Xi'an Jiaotong Liverpool University, and the University of Technology Sydney. Dr. Richardson is a member of the American Accounting Association. He has served as president of the American Accounting Association Information Systems section. He previously served as an editor of The Accounting Review and is currently an editor at Accounting Horizons. He has published articles in The Accounting Review, Journal of Information Systems, Journal of Accounting and Economics, Contemporary Accounting Research, MIS Quarterly, International Journal of Accounting Information Systems, Journal of Management Information Systems, Journal of Operations Management, and Journal of Marketing. Dr. Richardson is also a co-author of McGraw-Hills Introduction to Data Analytics for Accounting, Data Analytics for Accounting and Introduction to Business Analytics textbooks. Katie L. Terrell is an instructor in the Sam M. Walton College of Business at the University of Arkansas. She received her B.A. degrees in English Literature and in the Spanish Language from the University of Central Arkansas, and received her MBA from the University of Arkansas. She expects a doctoral degree by 2019. She has taught students at the University of Arkansas, Soochow University (Suzhou, China), the University College Dublin (Ireland), and at Duoc UC, a branch of the Catholic University of Chile (a del Mar, Chile). She is a member of the American Accounting Association and has published a Statement on Management Accounting for the Institute of Management Accountants on managing organizational change in operational change initiatives. She has recently been recognized for her innovative teaching by being 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. Ryan A. Teeter is a Clinical Assistant Professor of Accounting in the Katz Graduate School of Business at the University of Pittsburgh. He teaches accounting information systems, auditing, and accounting data analytics. Prior to receiving his PhD in Accounting Information Systems from Rutgers University, he worked at Google in Mountain View, California. He has since worked with internal audit organizations at Siemens, Procter Gamble, Alcoa/Arconic and Fedex helping to develop robotic process automation programs and data analytic solutions. Dr. Teeter is a member of the American Accounting Association and has published articles in the Journal of Strategic Technologies in Accounting and Issues in Accounting Education. He has received grant funding for data analytics research from PwC.

Chapter 1 Ask the Question: Using Data Analytics to Address Accounting Questions  

Chapter 2 Master the Data: An Introduction to Accounting Data  

Chapter 3 Master the Data: Data Types Used in Accounting  

Chapter 4 Master the Data: Preparing Data for Analysis  

Chapter 5 Perform the Analysis: Types of Data Analytics  

Chapter 6 Perform the Analysis: Descriptive Analytics  

Chapter 7 Perform the Analysis: Diagnostic Analytics  

Chapter 8 Perform the Analysis: Predictive Analytics  

Chapter 9 Perform the Analysis: Prescriptive Analytics  

Chapter 10 Share the Story  

Chapter 11 Capstone Projects Using the AMPS Model  

Chapter 12 Financial Statement Analysis  

Chapter 13 Managerial Accounting Analytics  

Appendix A: Excel Tutorial 

Appendix B: Tableau Tutorial 

Appendix C: Power BI Tutorial