(Original PDF) Data Analytics for Accounting by Vernon Richardson

(Original PDF) Data Analytics for Accounting by Vernon Richardson – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 1260837831
• ISBN-13 ‏ : ‎ 978-1260837834
• Author: Vernon Richardson, Ryan Teeter, Katie Terrell

Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. 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. Integrated in each chapter, labs provide students with hands on experiences performing analysis using various datasets and tools. Students will perform data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. With customer feedback in mind, the authors incorporated three new chapters covering tax and capstone projects that focus on both high-level and low-level projects. Additional videos were integrated into Connect to provide more lecture and lab support. This is an innovative course solution that includes cutting-edge content and assessment paired with assignments that help students build the skills they need to succeed.

Table contents:

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

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