Название: Introduction to Data Analytics for Accounting, 2nd Edition
Автор: Vernon J. Richardson, Katie L. Terrell, Ryan A. Teeter
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 32.4 MB

The combination of computerization and automation of many accounting tasks as well as the explosion of available data is changing the accounting profession. To address this, accountants are increasingly required to have an analytics mindset to perform their jobs. Building upon the fundamentals of accounting learned in prior courses, Introduction to Data Analytics for Accounting explores accounting concepts through the application of data analytics. We recognize students need to not only develop the skills to ask the right questions, but to learn how to use tools they may encounter in the workplace such as Excel, Tableau, and PowerBI to examine and analyze data, and then effectively interpret results to make business decisions. This analytics mindset is crucial early in the study of accounting to meet the demands of today's accounting jobs.

Introduction to Data Analytics for Accounting provides a framework to help develop a data analytics mindset, which we refer to as the AMPS Model:
1. Ask the Question (Chapter 1).
2. Master the Data (Chapters 2–4).
3. Perform the Analysis (Chapters 5–9).
4. Share the Story (Chapter 10).