Data and Analytics in Accounting: An Integrated Approach

by Ann C. Dzuranin, Guido Geerts, Margarita Lenk

Overview

Develop an integrated data analysis and critical thinking skill set needed to be successful in the rapidly changing accounting profession. Data Analytics in Accounting: An Integrated Approach, 1st Edition helps students develop the professional skills you need to plan, perform, and communicate data analyses effectively and efficiently in the real world. An integrated approach provides flexibility for use within a standalone course or across the accounting curriculum.

Product Details

ISBN-13:	9781119722991
Publisher:	Wiley
Publication date:	12/20/2022
Pages:	656
Product dimensions:	8.40(w) x 10.50(h) x 1.10(d)

About the Author

ANN C. DZURANIN is the KPMG Endowed Professor of Accountancy at Northern Illinois University. She earned her BS from Fairleigh Dickinson University, her MBA from New York University, and her PhD from the University of South Florida. Ann is a CPA (NJ) with 15 years of experience in both public and corporate accounting.

GUIDO L. GEERTS is a professor of accounting and EY Faculty Scholar at the Lerner College of Business, University of Delaware, where he teaches accounting information systems and data analytics. He received a PhD in accounting information systems from the Free University of Brussels, Belgium in 1993.

MARGARITA MARIA LENK'S signature sincere enthusiasm, caring ethic, integrity, inclusion values, and her intellectual curiosity have served the accounting profession and students for decades in her roles as a national and international accounting professional, instructor, author, mentor, coach, consultant, presenter, and researcher. Margarita studied accounting, computer science, psychology, and economics, with degrees and teaching awards from the University of Central Florida, the University of North Carolina at Chapel Hill, and the University of South Carolina. She is a Colorado State University faculty emeritus.

Table of Contents

Plan

1. Data and Analytics in the Accounting Profession 1-0

2. Foundational Data Analysis Skills 2-0

3. Motivations and Objectives for Data Analysis 3-0

4. Planning Data and Analysis Strategies 4-0

Analyze

5. Analysis: Data Preparation 5-0

6. Analysis: Information Modeling 6-0

7. Analysis: Data Exploration 7-0

Report

8. Interpreting Data Analysis Results 8-0

9. Communicating Data Analysis Results 9-0

10. Recent Data and Analyses Developments in Accounting 10-0

Glossary G- 1

Index I- 1