FTC Data Week 14

FTC Data Week 14

University

15 Qs

quiz-placeholder

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FTC Data Week 14

FTC Data Week 14

Assessment

Quiz

Computers

University

Easy

Created by

David Remon

Used 4+ times

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is data important for resolving customer issues?

It allows businesses to ignore customer complaints

It helps identify patterns and proactively address problems

It increases product costs

It prevents customers from leaving reviews

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Amazon use data to improve customer service?

By predicting which products will be returned

By sending random product recommendations

By ignoring customer complaints

By preventing customers from making returns

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Zendesk use data to improve support processes?

It tracks how long support tickets take to resolve

It randomly assigns tickets to agents

It deletes unresolved tickets after 24 hours

It ignores customer feedback

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary benefit of Sky's churn prediction model?

It helps them predict stock shortages

It identifies customers who are likely to cancel

It reduces the need for customer service teams

It removes inactive customer accounts

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does BT use data to improve network services?

By collecting customer service and network performance data

By removing customer complaints from their system

By charging customers more for reliable service

By increasing the number of service outages

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can businesses use data to build brand awareness?

By ignoring market trends

By randomly selecting sponsorships

By analysing customer demographics and interests

By avoiding social media

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one way Netflix uses data to improve its service?

By blocking access to certain movies

By developing recommendation algorithms

By charging extra for customer preferences

By limiting the number of movie suggestions

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