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Data Analytics for Accounting: A Comprehensive Test Bank for the 1st Edition — Covering the IMPACT Cycle, Auditing, Financial Reporting, and Essential Data Skills for the Modern Accountant Description

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This test bank accompanies the first edition of Data Analytics for Accounting. It is designed to assess student understanding of how data analytics is transforming the accounting profession. The content covers the fundamental concepts of data analytics, the IMPACT cycle, and the specific skills accountants need to thrive in a data-driven world. It explores how data analytics applies to key accounting domains, including auditing, tax, financial reporting, and managerial accounting, and emphasizes the importance of data visualization, communication, and the use of tools like XBRL for financial analysis.

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Test Bank
for Data Analytics for
Accounting (1st Edition) by
Richardson




1
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

,Data Analytics for Accounting, 1e (Richardson)
Chapter 1 Data Analytics in Accounting and Business

1) Data analytics is the process of evaluating data with the purpose of drawing conclusions to
address business questions.

Answer: TRUE
Difficulty: 1 Easy
Topic: Define Data Analytics
Learning Objective: 01-01 Define Data Analytics.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

2) The process of data analytics aims to transform raw information into data to create value.

Answer: FALSE
Difficulty: 1 Easy
Topic: Define Data Analytics
Learning Objective: 01-01 Define Data Analytics.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

3) Data analytics has the potential to transform the manner in which companies run their
businesses; however, it is not practical in the near future.

Answer: FALSE
Difficulty: 1 Easy
Topic: How Data Analytics Affects Business
Learning Objective: 01-02 Understand why Data Analytics matters to business.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

4) Auditors can use social media to hear what customers are saying about a company and
compare this to inventory obsolescence and other estimates.

Answer: TRUE
Difficulty: 2 Medium
Topic: Financial Reporting

2
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

,Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Understand
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making
5) Data analytics allows auditors to glean insights that are beneficial to the client, without
breaching independence.

Answer: TRUE
Difficulty: 2 Medium
Topic: Auditing
Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

6) The predictive analytics is an important aspect of data analytics for auditors, but is not
applicable for tax accountants.

Answer: FALSE
Difficulty: 1 Easy
Topic: Tax
Learning Objective: 01-03 Explain why Data Analytics matters to accountants.
Bloom's: Understand
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

7) The I in IMPACT Cycle represents Identify the Question.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

8) The M in IMPACT Cycle represents Master the Data.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember

3
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

, AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making
9) The P in IMPACT Cycle represents Predict the Results.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

10) The A in IMPACT Cycle represents Analyze the Data.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

11) The C in IMPACT Cycle represents Continuously Track.

Answer: FALSE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making

12) The T in IMPACT Cycle represents Track Outcomes.

Answer: TRUE
Difficulty: 2 Medium
Topic: The Data Analytics Process Using the Impact Cycle
Learning Objective: 01-04 Describe the Data Analytics Process Using the IMPACT Cycle.
Bloom's: Remember
AACSB: Reflective Thinking
AICPA: BB Industry; FN Decision Making
13) Data normalization can reduce data redundancy and improve data integrity.



4
Copyright 2019 © McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior
written consent of McGraw-Hill Education.

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