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Data Analytics - Module 5: Segmentation Methods and Techniques

Authored by Mariusz Dworniczak

Business

Professional Development

Used 4+ times

Data Analytics - Module 5: Segmentation Methods and Techniques
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a segment in the context of analytics data?

A large dataset containing all user data

A subset of analytics data from specific user groups

A method for predicting future trends

A technique for clustering all users together

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes descriptive analysis?

It predicts future trends using past data

It involves data mining and data aggregation to analyze past events

It uses advanced techniques to forecast future events

It is a proactive approach to data analysis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of analysis is described as proactive?

Descriptive analysis

Data mining

Predictive analysis

Data aggregation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic used to create customer segments?

Revenue trends

Customer satisfaction scores

Demographic characteristics

Website traffic

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main input for cluster analysis?

Raw data on competitors

Predictive models

Measures of similarity between customers

Financial reports

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a benefit of creating customer segments?

Customizing marketing messages

Improving product development

Targeting specific organizations

Ensuring every customer receives the same offer

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of analysis involves statistics and forecast techniques?

Descriptive analysis

Predictive analysis

Cluster analysis

Data mining

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