Exam (elaborations)

Data Analytics for Accounting, 1st Edition by Vernon Richardson, Teeter, and Terrell - Test Bank

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This document is a Test Bank containing assessment questions (True/False and Multiple-Choice) for the first edition of the textbook Data Analytics for Accounting by Richardson, Teeter, and Terrell. The content focuses on fundamental concepts of data analytics and its essential role and application within the field of accounting and business. Specific topics covered in the questions include: Defining data analytics and understanding its transformative effect on business operations. Explaining why data analytics is crucial for accountants, including its application in Financial Reporting, Auditing, and Tax. Describing the steps of the data analytics process, often referred to by the acronym IMPACT Cycle (Identify the Question, Master the Data, etc.). Outlining the data-analytic skills needed by analytic-minded accountants, such as descriptive data analysis, data quality, data scrubbing, and developing an analytics mindset. The questions are classified by difficulty (e.g., Easy, Medium), Bloom's Taxonomy level (e.g., Remember, Understand), and relevant professional standards like AACSB and AICPA (specifically BB Industry; FN Decision Making)

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Institution

Data Analysis

Course

Data Analysis

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Vernon Richardson, Katie Terrell, Ryan Teeter Data Analytics for Accounting

Edition:2019
ISBN:9781260571097
Edition:Unknown

Written for

Institution: Data Analysis
Course: Data Analysis

Document information

Uploaded on: October 13, 2025
Number of pages: 146
Written in: 2025/2026
Type: Exam (elaborations)
Contains: Questions & answers

Subjects

data analytics
accounting
accounting
impact cycle
auditing
financial reporting
tax
business
analytics mindset
data quality
vernon richardson richardson teeter terrell

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Data Analytics for Accounting, 1st Edition by Vernon Richardson, Teeter, and Terrell - Test Bank

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