Data Analytics for Accounting https://www.mheducation.com/cover-images/Jpeg_400-high/1260837831.jpeg 2 9781260837834 Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Integrated in each chapter, labs provide students with hands on experiences performing analysis using various datasets and tools. Students will perform data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. With customer feedback in mind, the authors incorporated three new chapters covering tax and capstone projects that focus on both high-level and low-level projects. Additional videos were integrated into Connect to provide more lecture and lab support. This is an innovative course solution that includes cutting-edge content and assessment paired with assignments that help students build the skills they need to succeed.
Data Analytics for Accounting

Data Analytics for Accounting

2nd Edition
By Vernon Richardson and Katie Terrell and Ryan Teeter
ISBN10: 1260837831
ISBN13: 9781260837834
Copyright: 2021
Product Details +
09781260837834

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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Program Details

Ch. 1 Data Analytics for Accounting and Identifying the Questions
Ch. 2 Mastering the Data
Ch. 3 Performing the Test Plan and Analyzing the Results
Ch. 4 Communicating Results and Visualizations
Ch. 5 The Modern Accounting Environment
Ch. 6 Audit Data Analytics
Ch. 7 Managerial Analytics
Ch. 8 Financial Statement Analytics
Ch. 9 Tax Analytics
Ch. 10 Project Chapter (Basic)
Ch. 11 Project Chapter (Advanced): Analyzing Dillard’s Data to Predict Sales Returns
Appendix A Basic Statistics Tutorial
Appendix B Accessing the Excel Data Analysis Toolpak
Appendix C Excel (Formatting, Sorting, Filtering, and PivotTables)
Appendix D SQL Part 1
Appendix E SQLite
Appendix F Power Query
Appendix G Tableau
Appendix H SQL Part 2
Appendix I Power BI
Appendix J Dillard’s ER Diagram
Appendix K Data Dictionaries

About the Author

Vernon Richardson

Vernon J. Richardson is 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 Xi’an Jiaotong Liverpool University. He received his B.S., Masters of Accountancy, and MBA from Brigham Young University and a Ph.D. 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, Aarhus University, University of Kansas, and 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 editor of The Accounting Review and is currently editor at the 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.

Katie Terrell

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 Teeter

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.

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