Introduction to Business Analytics

Richardson, Vernon; Watson, Marcia Weidenmier

ISBN 10 : 126545017X ISBN 13 : 9781265450175

Editeur : McGraw-Hill Companies, 2023

Synopsis

Introduction to Business Analytics recognizes that students need to develop the skills to ask the right questions, learn to use common workplace tools (such as Excel(R), Tableau(R), and Power BI(R)) to examine and analyze data, and interpret results accurately and effectively to make business decisions. Richardson 1e provides a framework for developing a business analytics mindset called the SOAR analytics model which is composed of four steps-- Specify the question, Obtain the data, analyze the data, and report the results. This model is used throughout the text in conjunction with the various types of data analysis that analysts need to perform. The lab activities, which appear at the end of each chapter, follow this framework to reinforce the analytical process. A capstone in the final chapter provides three projects that apply the complete SOAR model.

A propos du livre

À propos des auteurs

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.


Marcia Weidenmier Watson is the Jesse H. Jones Distinguished Professor of Accounting at Trinity University. She received her B.B.A.in Accounting from The College of William and Mary, and an M.B.A. in Accounting and Information Systems Management as well as a Ph.D. in Accounting from the University of Texas at Austin. She has taught students at Trinity University, UNC Charlotte, Mississippi State University, TCU, and the University of Texas at Austin. Prior to receiving her Ph.D., she worked at Price Waterhouse as a financial systems consultant, helping to implement Oracle enterprise systems and streamline business processes.
Dr. Watson is a member of the American Accounting Association. She served as the American Accounting Association Accounting Information Systems Section Newsletter Editor from 2005 through 2021. She was recognized for outstanding service to the American Accounting Association Accounting Information Systems Section in 2008 and 2019. Dr. Watson has published articles in Accounting Horizons, Advances in Management Accounting, International Journal of Accounting Information Systems, Issues in Accounting Education, Journal of Accountancy, Journal of Accounting Education, Journal of Information Systems, and MIS Quarterly.

Détails de l'édition

• Éditeur: McGraw-Hill Companies
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 126545017X
• ISBN 13: 9781265450175
• Reliure: Feuillets mobiles
• Nombre de pages: 928
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible