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TEST BANK FOR Data Analytics for Accounting, 3rd Edition by Richardson Chapter 1-9 A++
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Test Bank - Data Analytics for Accounting, 3rd Edition by Vernon Richardson, All Chapters 1-9 |Complete Guide A+
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Test Bank - Data Analytics for Accounting, 3rd Edition By Vernon Richardson
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Test Bank for Data Analytics for Accounting, 3rd Edition by Vernon Richardson, All Chapters 1-9| Complete Guide A+
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Created By: Irfan AliTEST 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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