ISE Data Analytics for Accounting - Softcover

Richardson Professor, Vernon; Terrell, Katie L.; Teeter, Ryan A.

Softcover

ISBN 10: 1260571092 ISBN 13: 9781260571097

Verlag: McGraw Hill, 2020

Inhaltsangabe

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.

Über diesen Titel

Über die Autorinnen und Autoren

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.

Details zur Ausgabe

• Verlag: McGraw Hill
• Erscheinungsdatum: 2020
• ISBN 10: 1260571092
• ISBN 13: 9781260571097
• Einband: Tapa blanda
• Sprache: Englisch
• Auflage: 2
• Anzahl der Seiten: 544
• Kontakt zum Hersteller: Nicht verfügbar