Data Analytics for Accounting: 2025 Release ISE

Häftad, Engelska, 2025

AvVernon Richardson,Ryan Teeter,Katie Terrell

1 179 kr

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Data Analytics for Accounting 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. Once students understand the foundation, they are provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their careers. The data analysis tools are structured around three tracks—the Microsoft track (Excel, Power Pivot, and Power BI), the Tableau track (Tableau Prep and Tableau Desktop), and the Alteryx track. Using multiple tools allows students to learn skills in various software to gain technical agility. Data Analytics for Accounting is a full course data analytics solution guaranteed to prepare your students for their future careers as accountants.

Produktinformation

Utgivningsdatum2025-03-04
Vikt952 g
FormatHäftad
SpråkEngelska
Upplaga4
FörlagMcGraw-Hill Education
ISBN9781265212926

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 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-Hill’s Introduction to Data Analytics for Accounting, Data Analytics for Accounting and Introduction to Business Analytics textbooks. 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 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.

1. Data Analytics for Accounting and Identifying the Questions2. Mastering the Data3. Performing the Test Plan and Analyzing the Results4. Communicating Results and Visualizations5. The Modern Accounting Environment6. Audit Data Analytics7. Managerial Analytics8. Financial Statement Analytics9. Tax Analytics10. Project Chapter (Basic)11. Project Chapter (Advanced): Analyzing Dillard's Data toPredict Sales ReturnsAppendices:A. Basic Statistics TutorialB. Excel (Formatting, Sorting, Filtering, and PivotTables)C. Accessing the Excel Data Analysis ToolpakD. SQL Part 1E. SQL Part 2F. Power Query in Excel and Power BIG. Power BI DesktopH. Tableau Prep BuilderI. Tableau DesktopJ. AlteryxK: Data Dictionaries