Data Analytics for Accounting. Third Edition

Data Analytics for Accounting. Third Edition – Ebook Instant Download/Delivery ISBN(s): 9781264444908,1264444907,9781264460571, 1264460570

Product detail:

• ISBN 10:  1264460570
• ISBN 13: 9781264460571
• Author: Vernon Richardson

Data Analytics is changing the business world—data simply surrounds us which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics through a conceptual framework and hands-on practice with real-world data. Using the IMPACT Cycle the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Once students understand the foundation of providing data-driven insights they are then provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their career. The data analysis tools are structured around two tracks—the Microsoft track (Excel Power Pivot and Power BI) and a Tableau track (Tableau Prep and Tableau Desktop). Using multiple tools allows students to learn which tool is best suited for the necessary data analysis data visualization and communication of the insights gained. Data Analytics for Accounting 3e is a full-course data analytics solution guaranteed to prepare your students for their future careers as accountants.

Table of contents:

1. Chapter 1: Data Analytics in Accounting and Identifying the Questions
2. Chapter 2: Mastering the Data
3. Chapter 3: Performing the Test Plan and Analyzing the Results
4. Chapter 4: Communicating Results and Visualizations
5. Chapter 5: The Modern Accounting Environment
6. Chapter 6: Audit Analytics
7. Chapter 6: Audit Analytics
8. Chapter 7: Managerial Analytics
9. Chapter 8: Financial Statement Analytics
10. Chapter 9: Tax Analytics
11. Chapter 10: Project Chapter Basic
12. Chapter 11: Project Chapter Advanced: Analyzing Dillard’s Data to Predict Sales Returns

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