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TEST BANK FOR INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING 2ND EDITION BY VERNON RICHARDSON 2025/2026 A+

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TEST BANK FOR INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING 2ND EDITION BY VERNON RICHARDSON 2025/2026 A+

Institution
INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING
Course
INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING











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Written for

Institution
INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING
Course
INTRODUCTION TO DATA ANALYTICS FOR ACCOUNTING

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Uploaded on
September 27, 2025
Number of pages
205
Written in
2025/2026
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Exam (elaborations)
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TEST BANK FOR INTRODUCTION TO
DATA ANALYTICS FOR
ACCOUNTING 2ND EDITION BY
VERNON RICHARDSON 2025/2026 A+




1|Page

,TABLE OF CONTENTS
chapter 1 ask the question: using data analytics to address accounting questions

chapter 2 master the data: an introduction to accounting data

chapter 3 master the data: data types used in accounting

chapter 4 master the data: preparing data for analysis

chapter 5 perform the analysis: types of data analytics

chapter 6 perform the analysis: descriptive analytics

chapter 7 perform the analysis: diagnostic analytics

chapter 8 perform the analysis: predictive analytics

chapter 9 perform the analysis: prescriptive analytics

chapter 10 share the story

chapter 11 capstone projects using the amps model

chapter 12 financial statement analysis

chapter 13 managerial accounting analytics




2|Page

, chapter 01

true/false - write 't' if the statement is true and 'f' if the statement is false.
1) data analytics is the process of evaluating data with the purpose of drawing conclusions to address
business questions.

⊚ true

⊚ false



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

⊚ true

⊚ false



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.

⊚ true

⊚ false



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

⊚ true

⊚ false



5) data analytics allows auditors to glean insights that are beneficial to the client, without breeching
independence.

⊚ true

⊚ false




3|Page

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

⊚ true

⊚ false



7) the i in impact cycle represents identify the question.

⊚ true

⊚ false



8) the m in impact cycle represents master the data.

⊚ true

⊚ false



9) the p in impact cycle represents predict the results.

⊚ true

⊚ false



10) the a in impact cycle represents analyze the data.

⊚ true

⊚ false



11) the c in impact cycle represents continuously track.

⊚ true

⊚ false



12) the t in impact cycle represents track outcomes.

⊚ true
⊚ false
4|Page

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