MARKETING DATA ANALYTICS EXAMINATION
QUESTIONS AND CORRECT ANSWER WITH
EXPLANATION GRADED A+ STUDY GUIDE SOUTHERN
NEW HAMPSHIRE UNIVERSITY
1. Marketing data analytics is:
A. Analysis of marketing data to make decisions
B. Manufacturing process
C. HR recruitment
D. Accounting system
Answer: A
Rationale: It focuses on interpreting marketing data.
2. The main purpose of marketing analytics is to:
A. Improve marketing decisions
B. Reduce customers
C. Stop marketing
D. Replace HR
Answer: A
Rationale: Data-driven decision making.
3. Data in marketing analytics refers to:
A. Raw facts and figures
B. Manufacturing tools
C. HR policies
D. Accounting rules
Answer: A
Rationale: Basic information.
4. Descriptive analytics answers:
A. What happened
B. What will happen
C. Why it happened
D. How to fix it
Answer: A
Rationale: Past analysis.
,5. Predictive analytics focuses on:
A. Forecasting future trends
B. Past reporting
C. Manufacturing
D. HR hiring
Answer: A
Rationale: Future prediction.
6. Prescriptive analytics suggests:
A. Actions to take
B. Past events
C. Manufacturing steps
D. HR policies
Answer: A
Rationale: Decision guidance.
7. Data visualization is:
A. Graphical representation of data
B. Manufacturing charts
C. HR reports
D. Accounting sheets
Answer: A
Rationale: Visual data.
8. KPI stands for:
A. Key Performance Indicator
B. Known Profit Index
C. Key Product Input
D. Knowledge Process Integration
Answer: A
Rationale: Performance metric.
9. ROI means:
A. Return on Investment
B. Rate of Income
C. Revenue Output Index
D. Retail Operational Income
Answer: A
Rationale: Profit measurement.
, 10. Conversion rate is:
A. Percentage of users who take desired action
B. Manufacturing speed
C. HR rate
D. Accounting ratio
Answer: A
Rationale: Marketing effectiveness.
11. Big data refers to:
A. Large and complex datasets
B. Small data
C. HR files
D. Accounting books
Answer: A
Rationale: Massive data sets.
12. Data cleaning is:
A. Removing errors from data
B. Manufacturing data
C. HR hiring
D. Accounting only
Answer: A
Rationale: Data accuracy.
13. Data mining is:
A. Finding patterns in data
B. Manufacturing mining
C. HR process
D. Accounting method
Answer: A
Rationale: Pattern discovery.
14. Customer segmentation is:
A. Grouping customers by behavior
B. Manufacturing process
C. HR structure
D. Accounting system
Answer: A
Rationale: Market grouping.
QUESTIONS AND CORRECT ANSWER WITH
EXPLANATION GRADED A+ STUDY GUIDE SOUTHERN
NEW HAMPSHIRE UNIVERSITY
1. Marketing data analytics is:
A. Analysis of marketing data to make decisions
B. Manufacturing process
C. HR recruitment
D. Accounting system
Answer: A
Rationale: It focuses on interpreting marketing data.
2. The main purpose of marketing analytics is to:
A. Improve marketing decisions
B. Reduce customers
C. Stop marketing
D. Replace HR
Answer: A
Rationale: Data-driven decision making.
3. Data in marketing analytics refers to:
A. Raw facts and figures
B. Manufacturing tools
C. HR policies
D. Accounting rules
Answer: A
Rationale: Basic information.
4. Descriptive analytics answers:
A. What happened
B. What will happen
C. Why it happened
D. How to fix it
Answer: A
Rationale: Past analysis.
,5. Predictive analytics focuses on:
A. Forecasting future trends
B. Past reporting
C. Manufacturing
D. HR hiring
Answer: A
Rationale: Future prediction.
6. Prescriptive analytics suggests:
A. Actions to take
B. Past events
C. Manufacturing steps
D. HR policies
Answer: A
Rationale: Decision guidance.
7. Data visualization is:
A. Graphical representation of data
B. Manufacturing charts
C. HR reports
D. Accounting sheets
Answer: A
Rationale: Visual data.
8. KPI stands for:
A. Key Performance Indicator
B. Known Profit Index
C. Key Product Input
D. Knowledge Process Integration
Answer: A
Rationale: Performance metric.
9. ROI means:
A. Return on Investment
B. Rate of Income
C. Revenue Output Index
D. Retail Operational Income
Answer: A
Rationale: Profit measurement.
, 10. Conversion rate is:
A. Percentage of users who take desired action
B. Manufacturing speed
C. HR rate
D. Accounting ratio
Answer: A
Rationale: Marketing effectiveness.
11. Big data refers to:
A. Large and complex datasets
B. Small data
C. HR files
D. Accounting books
Answer: A
Rationale: Massive data sets.
12. Data cleaning is:
A. Removing errors from data
B. Manufacturing data
C. HR hiring
D. Accounting only
Answer: A
Rationale: Data accuracy.
13. Data mining is:
A. Finding patterns in data
B. Manufacturing mining
C. HR process
D. Accounting method
Answer: A
Rationale: Pattern discovery.
14. Customer segmentation is:
A. Grouping customers by behavior
B. Manufacturing process
C. HR structure
D. Accounting system
Answer: A
Rationale: Market grouping.
