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Data Analytics for Accounting (3rd Edition, Vernon Richardson) - Complete Test Bank

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Data Analytics for Accounting (3rd Edition, Vernon Richardson) - Complete Test Bank

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TEST BANK

Data Analytics for Accounting


by Vernon Richardson, Ryan A. Teeter
3rd Edition
N
U
R
SE
D
O
C
S


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, KJHGFD

Test Bank FOR
Data Analytics for Accounting, 3rd Edition by Vernon Richardson, Teeter
Chapter 01 3e
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
N
2) The process of data analytics aims to transform raw information into data to create value.
⊚ true
U
⊚ false
R
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
SE
⊚ 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.
D
⊚ true
⊚ false
O
5) Data analytics allows auditors to glean insights that are beneficial to the client, without
breeching independence.
C
⊚ true
⊚ false
S
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.




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⊚ true
⊚ false


8) The M in IMPACT Cycle represents Master the Data.
⊚ true
⊚ false
N
9) The P in IMPACT Cycle represents Predict the Results.
⊚ true
⊚ false
U

10) The A in IMPACT Cycle represents Analyze the Data.
R
⊚ true
⊚ false
SE
11) The C in IMPACT Cycle represents Continuously Track.
⊚ true
⊚ false
D
12) The T in IMPACT Cycle represents Track Outcomes.
⊚ true
O
⊚ false
C
13) The IMPACT cycle is iterative, as insights are gained, outcomes are tracked, and new
questions are identified.
⊚ true
S
⊚ 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




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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.
N
⊚ true
⊚ false
U
17) While it is important for accountants to clearly articulate the business problem, drawing
appropriate conclusions, based on the data, should be left to statisticians.
R
⊚ true
⊚ false
SE
18) Analytic-minded accountants should report results of analysis in an accessible way to
each varied decision maker and their specific needs.
⊚ true
⊚ false
D

MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
O
answers the question.
19) With a goal to give organizations the information they need to make sound and timely
business decisions, data analytics often involves all of the following except:
C
A) technologies.
B) statistics.
S
C) strategies.
D) databases.



20) Patterns discovered from blank enable businesses to identify opportunities
and risks and better plan for blank.




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Connected book
 image
Vernon J. Richardson, Ryan Teeter, Katie L. Terrell Data Analytics for Accounting
Publisher: 2018 ISBN: 9781260288407 Edition: Unknown

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