Data Analytics for Accounting (2nd Edition)
Data Analytics for Accounting is expertly designed to prepare students with the essential tools and analytical skills necessary to succeed in the modern accounting landscape. Centered around the IMPACT Cycle, authors Vernon Richardson and his colleagues provide a comprehensive conceptual framework that leads students through the critical steps of generating data-driven insights and professional recommendations.
This edition emphasizes practical application through integrated chapter labs, offering hands-on experience with diverse datasets. Students gain proficiency in industry-standard software and languages, including Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. The second edition has been expanded to include three new chapters specifically covering tax analytics and capstone projects, which challenge students with both high-level strategic problems and detailed technical tasks.
Book Content & Key Features
- IMPACT Framework: A structured approach to help students think critically through the data analysis process.
- Hands-on Labs: Real-world scenarios using leading data tools to build technical competency.
- New Capstone Projects: Comprehensive assignments that integrate multiple skills to solve complex accounting problems.
- Tax Analytics: Specialized content focusing on the intersection of data science and taxation.
- Innovative Pedagogy: Cutting-edge content paired with assessments designed to build professional-grade skills.
Product Details
- Title: Data Analytics for Accounting
- Author: Vernon Richardson
- Edition: 2nd Edition
- Publisher: McGraw Hill
- Publication Date: January 30, 2020
- ISBN-10: 1260837831
- ISBN-13: 978-1260837834