Data Analytics for Accounting https://www.mheducation.com/cover-images/Jpeg_400-high/1264444907.jpeg 3 9781264444908 Data Analytics is changing the business world—data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics through a conceptual framework and hands-on practice with real-world data. 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. Once students understand the foundation of providing data-driven insights, they are then provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their career. The data analysis tools are structured around two tracks—the Microsoft track (Excel, Power Pivot, and Power BI) and a Tableau track (Tableau Prep and Tableau Desktop). Using multiple tools allows students to learn which tool is best suited for the necessary data analysis, data visualization, and communication of the insights gained. Data Analytics for Accounting 3e is a full-course data analytics solution guaranteed to prepare your students for their future careers as accountants.
Data Analytics for Accounting

Data Analytics for Accounting

3rd Edition
By Vernon Richardson and Ryan Teeter and Katie Terrell
ISBN10: 1264444907
ISBN13: 9781264444908
Copyright: 2023
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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

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

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.

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.