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TEST BANK FOR Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia Weiden All Chapter 1-11 Complete

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TEST BANK FOR Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia Weiden All Chapter 1-11 Complete TEST BANK FOR Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia Weiden All Chapter 1-11 Complete

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Voorbeeld van de inhoud

TEST BANK FOR
Introduction to Business Analytics 1st Edition Vernon J. Richardson Marcia
Weiden Chapter 1-11
Answers are at the End of Each Chapter

Chapter 1
Student name:
TRUE/FALSE - Write 'T' if the statement is true and 'F' if the statement is false.
1) A business process is a coordinated, standardized set of activities conducted by both people
and equipment to accomplish a specific business task.
⊚ true
⊚ false

2) A business analyst is a data scientist who collects data to help an organization make
effective business decisions.
⊚ true
⊚ false

3) Data is defined as information organized in a meaningful way to be useful to the user.
⊚ true
⊚ false

4) Information is defined as being data organized in a meaningful way to be useful to the user in
a given context.
⊚ true
⊚ false

5) A data scientist is a liaison between decision makers and business analysts.
⊚ true
⊚ false

6) Operations analytics uses business analytics to measure and improve the efficiency and
effectiveness of the company’s operations.
⊚ true
⊚ false

,7) The third step in the SOAR analytics model is to Access the data.
⊚ true
⊚ false

8) Exploratory data visualization is used to communicate results of the analysis to decision
makers and other stakeholders.
⊚ true
⊚ false

CHECK ALL THE APPLY. Choose all options that best completes the statement or
answers the question.
9) A visualization may be used to help with which component of the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

MULTIPLE CHOICE - Choose the one alternative that best completes the statement or
answers the question.
10) The difficulty a person faces in understanding a problem and making a decision as a
consequence of having too much data.
A) Data Complexity
B) Data Overload
C) Analytics Mindset
D) Data Challenges

11) Which step of the SOAR model would usually involve computing an average?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

12) Which step of the SOAR model most appropriately addresses the skill mentioned by EY’s
analytics mindset of “extract, transform and load relevant data”?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

,13) Use of a dashboard to track relevant outcomes would be consistent with which component of
the SOAR model?
A) Specify the Question
B) Obtain the Data
C) Analyze the Data
D) Report the Results

14) What type of question(s) works to explain “Why did net income increase even though sales
did not?”
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?

15) What type of question is used in finding the level of sales needed to break even (exactly zero
profit)?
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?

16) What type of question is “How long will it take for Christmas products to arrive at our stores
if we source the products from Mexico rather than Indonesia?”
A) What happened? What is happening?
B) Why did it happen? What are the root causes of past results?
C) Will it happen in the future? What is the probability something will happen? Is it
forecastable?
D) What should we do based on what we expect will happen? How do we optimize our
performance based on potential constraints?

, 17) Whata4typea4ofa4questiona4isa4“Shoulda4wea4sourcea4oura4productsa4froma4Mexicoa4
rathera4thana4Indonesia?”
A) Whata4happened?a4Whata4isa4happening?
B) Whya4dida4ita4happen?a4Whata4area4thea4roota4causesa4ofa4pasta4results?
C) Willa4ita4happena4ina4thea4future?a4Whata4isa4thea4probabilitya4somethinga4willa4h
appen?a4Isa4ita4forecastable?
D) Whata4shoulda4wea4doa4baseda4ona4whata4wea4expecta4willa4happen?a4Howa4doa4wea4
optimizea4oura4performancea4baseda4ona4potentiala4constraints?

18) Whata4typea4ofa4questiona4isa4predictinga4whethera4borrowersa4willa4bea4ablea4toa4repaya4theira4loa
ns?
A) Whata4happened?a4Whata4isa4happening?
B) Whya4dida4ita4happen?a4Whata4area4thea4roota4causesa4ofa4pasta4results?
C) Willa4ita4happena4ina4thea4future?a4Whata4isa4thea4probabilitya4somethinga4willa4h
appen?a4Isa4ita4forecastable?
D) Whata4shoulda4wea4doa4baseda4ona4whata4wea4expecta4willa4happen?a4Howa4doa4wea4
optimizea4oura4performancea4baseda4ona4potentiala4constraints?

19) Whata4typea4ofa4questiona4isa4useda4ina4determininga4howa4toa4maximizea4revenuesa4ifa4th
erea4isa4aa4tradea4wara4witha4anothera4country?
A) Whata4happened?a4Whata4isa4happening?
B) Whya4dida4ita4happen?a4Whata4area4thea4roota4causesa4ofa4pasta4results?
C) Willa4ita4happena4ina4thea4future?a4Whata4isa4thea4probabilitya4somethinga4willa4h
appen?a4Isa4ita4forecastable?
D) Whata4shoulda4wea4doa4baseda4ona4whata4wea4expecta4willa4happen?a4Howa4doa4wea4
optimizea4oura4performancea4baseda4ona4potentiala4constraints?

20) Whata4terma4isa4useda4toa4refera4toa4thea4accuracy,a4validitya4anda4consistencya4ofa4dataa4us
eda4anda4storeda4overa4time?
A) Dataa4veracity
B) Dataa4integrity
C) Dataa4quality
D) Truthfula4data

21) Dashboardsa4showinga4currenta4companya4performancea4area4usuallya4associateda4witha4wha
ta4typea4ofa4updating?
A) Dynamic
B) Static
C) Opportunist
D) Monthly

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