Introduction to Data Analytics for Accounting
Summary: “Introduction to Data Analytics for Accounting” provides a comprehensive introduction to the principles and practices of data analytics as applied to accounting processes and financial analysis. In this book, readers learn essential concepts such as data collection, data cleaning, data visualization, and data-driven decision-making within the context of accounting. The text covers various analytical techniques, including regression analysis, clustering, and predictive modeling, and demonstrates their applications in auditing, fraud detection, budgeting, and financial reporting. With its focus on real-world examples and hands-on exercises, this book serves as an invaluable resource for accounting professionals and students seeking to leverage data analytics for improved financial management and decision-making.
Author Information: The author of “Introduction to Data Analytics for Accounting” is Colin L. Gray, a distinguished professor of accounting and information systems at The Ohio State University. He is widely recognized for his expertise in accounting information systems and data analytics.
Publisher: Wiley
Publication Year: 2016
ISBN-10: 1119134799
ISBN-13: 978-1119134792