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TEST BANK FOR Data Analytics for Accounting, 3rd Edition by Richardson Chapter 1-9 A++ $12.99
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TEST BANK FOR Data Analytics for Accounting, 3rd Edition by Richardson Chapter 1-9 A++

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  • October 2, 2024
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Created By: Irfan Ali


TEST BANK FOR Data Analytics for Accounting, 3rd

Edition by Richardson Chapter 1-9

Answers are at theEnd of Each Chapter A++
Chapter 01:

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




1

,Created By: Irfan Ali

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



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.

2

,Created By: Irfan Ali

⊚ 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



3

, Created By: Irfan Ali

13) The IMPACT cycle is iterative, as insights are gained, outcomes are tracked, and new

questions are identified.

⊚ true

⊚ false




14) Data analysis through data manipulation is performing basic analysis to understand the

quality of the underlying data and its ability to address the business question.

⊚ true

⊚ false




15) To be proficient in data analysis, accountants need to become data scientists.

⊚ true

⊚ false




16) By developing an analytics mindset, accountants will be able to recognize when and how

data analytics can address business questions.

⊚ true

⊚ false




4

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