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Complete Solution Manual For Introduction to Business Analytics By Vernon Richardson, Marcia Watson (CHAPTERS 1-12)|| Latest Update 2025

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Complete Solution Manual For Introduction to Business Analytics By Vernon Richardson, Marcia Watson (CHAPTERS 1-12)|| Latest Update 2025

Institution
Business Analytics
Course
Business Analytics











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Institution
Business Analytics
Course
Business Analytics

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Uploaded on
April 21, 2025
Number of pages
331
Written in
2024/2025
Type
Exam (elaborations)
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Solution Manual

Introduction To Business Analytics
By Vernon Richardson, Marcia Watson


1st Edition

, Table Of Contents

Chapter 1: Specify The Question: Using Business Analytics To Address Business Questions

Chapter 2: Obtain The Data: An Introduction To Business Data Sources

Chapter 3: Analyze The Data: Basic Statistics And Tools Required In Business Analytics

Chapter 4: Analyze The Data: Exploratory Business Analytics (Descriptive Analytics And Diagnostic
Analytics)

Chapter 5: Analyze The Data: Confirmatory Business Analytics (Predictive Analytics And Prescriptive
Analytics)

Chapter 6: Report The Results: Using Data Visualization

Chapter 7: Marketing Analytics

Chapter 8: Accounting Analytics

Chapter 9: Financial Analytics

Chapter 10: Operations Analytics

Chapter 11: Advanced Business Analytics

Chapter 12: Using The Soar Analytics Model To Put It All Together: Three Capstone Projects

, Chapter 1 End-Of-Chapter Assignment Solutions
Multiple Choice Questions
1. (LO 1.1) A Coordinated, Standardized Set Of Activities Conducted By Both People And Equipme
Nt To Accomplish A Specific Business Task Is Called.
a. Business Processes
b. Business Analysis
c. Business Procedure
d. Business Value
2. (LO 1.2) According To The Information Value Chain, Data Combined With Context Is
a. Information.
b. Knowledge.
c. Insight.
d. Value.

3. (LO 1.5) Which Phase Of The SOAR Analytics Model Addresses The Proper Way To
Commun Icate Results To The Decision Maker?
a. Specify The Question
b. Obtain The Data
c. Analyze The Data
d. Report The Results

4. (LO 1.5) Which Phase Of The SOAR Analytics Model Involves Finding The Most Appropriate
Data Needed To Address The Business Question?
a. Specify The Question
b. Obtain The Data
c. Analyze The Data
d. Report The Results

5. (LO 1.5) Which Questions Seek Information About Tesla’s Sales In The Next Quarter?
a. What Happened? What Is Happening?
b. Why Did It Happen? What Are The Causes Of Past Results?
c. Will It Happen In The Future? What Is The Probability Something Will Happen?
Can We Forecast What Will Happen?
d. What Should We Do, Based On What We Expect Will Happen? How Do We Optimize
Our Performance Based On Potential Constraints?


6. (LO 1.5) Which Questions Seek Information On The Routing Of Products From Queretaro,
M Exico To Chicago, United States In The Last Quarter?
a. What Happened? What Is Happening?
b. Why Did It Happen? What Are The Causes Of Past Results?
c. Will It Happen In The Future? What Is The Probability Something Will Happen? Can
W E Forecast What Will Happen?
d. What Should We Do, Based On What We Expect Will Happen? How Do We Optimize
Our Performance Based On Potential Constraints?

, Chapter 01 –
7. (LO 1.5) Which Questions Ask Why Net Income Is Increasing When Revenues Are
Decr Easing, Counter To Expectations?
a. What Happened? What Is Happening?
b. Why Did It Happen? What Are The Causes Of Past Results?
c. Will It Happen In The Future? What Is The Probability Something Will Happen? Can
W E Forecast What Will Happen?
d. What Should We Do, Based On What We Expect Will Happen? How Do We Optimize
Our Performance Based On Potential Constraints?

8. (LO 1.5) Which Questions Help Managers Understand How To Organize Future Shipments
Ba Sed On Expected Demand?
a. What Happened? What Is Happening?
b. Why Did It Happen? What Are The Causes Of Past Results?
c. Will It Happen In The Future? What Is The Probability Something Will Happen? Can
W E Forecast What Will Happen?
d. What Should We Do, Based On What We Expect Will Happen? How Do We
Optimiz E Our Performance Based On Potential Constraints?

9. (LO 1.5) Which Term Refers To The Combined Accuracy, Validity, And Consistency Of Data
Sto Red And Used Over Time?
a. Data Integrity
b. Data Overload
c. Data Value
d. Information Value

10. (LO 1.3) A Specialist Who Knows How To Work With, Manipulate, And Statistically Test Data Is A
a. Decision Maker.
b. Data Scientist.
c. Data Analyst.
d. Decision Scientist.

11. (LO 1.4) Which Type Of Analysts Predicts The Amount Of Money That A Company Will Receive
F Rom Its Customers To Help Management Evaluate Future Investments Based On Expected
Investme Nt Performance, Such As Investments In Equipment Or Employee Training?
a. Marketing Analyst
b. Operations Analyst
c. Financial Analyst
d. Accounting Analyst
12. (LO 1.4) Which Type Of Analyst Addresses Questions Regarding Tax And Auditing?
a. Marketing Analyst
b. Operations Analyst
c. Financial Analyst
d. Accounting Analyst

13. (LO 1.5) Suppose A Company Has Timely Product Reviews That Are Available When
Needed, But The Reviews Are Biased. These Product Reviews Are Which Type Of Data?
a. Reliable
b. Relevant
c. Curated
d. Consistent
© Mcgraw Hill LLC. All Rights Reserved. No Reproduction Or Distribution Without The Prior Written Consent Of
Mc Graw Hill LLC.


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