Description
Data Analytics for Accounting, 2nd Edition is a comprehensive resource designed for accounting professionals and students seeking to master data analytics in the accounting field. The second edition has been updated to reflect the latest developments in data analytics technology and its applications to accounting, auditing, and financial reporting.
The book covers essential topics including data extraction, transformation, data visualization, and advanced analytical techniques. It provides practical guidance on implementing analytics tools and interpreting results for better financial decision-making. With real-world examples and case studies, readers learn how to leverage data analytics to improve audit quality, detect anomalies, and enhance organizational efficiency.
Authored by Vernon J. Richardson, Ryan A. Teeter, Katie L. Terrell, and Partha Sarathi Mohapatra, this McGraw Hill publication combines theoretical knowledge with practical applications suitable for both accounting professionals and educational settings.
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