FPBA1014 Chapter 8 Quiz

FPBA1014 Chapter 8 Quiz

University

8 Qs

quiz-placeholder

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FPBA1014 Chapter 8 Quiz

FPBA1014 Chapter 8 Quiz

Assessment

Quiz

Business

University

Medium

Created by

TAN SAMUEL

Used 1+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Social Media Analytics?

Collect data on social media

Analyse data on social media

Make decisions from social media

Collect data, analyse data, and make decisions from social media

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which one of the following is NOT an advantage of Social Media Analytics?

Make decisions after conducting sentiment analysis

Collecting user data without compromising user privacy

Understand audience demographics

Competitive advantage over businesses who do not do Social Media Analytics

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the key metrics for Social Media Analytics?

Engagement metrics

Profit margin

Inventory turnover

Server response time

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the main types of data collected in Social Media Analytics?

Text data

Image data

Video data

All of the above

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can Social Network Analysis help us with when we use it to analyse social media?

Help us collect unstructured data.

Find out if the business' social media page is doing well or not.

Find out who are the influencers among groups of friends.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Social media posts can be analysed using Natural Language Processing (NLP) to see if the words used are positive, negative or neutral. What is being described here?

Demographic analysis

Web analytics

Prescriptive analytics

Sentiment analysis

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A business wants to see if their YouTube channel should be continued, which key metric should they analyse?

Bounce rate

Subscriber growth

Number of comments

Sessions

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can social media analytics integrate online and offline data in the future?

Develop a time machine to seamlessly transport data between online and offline environments for real-time integration.

Ignore offline data as it is less relevant to social media analytics and focus solely on online interactions.

Print online data onto physical paper and manually input it into offline databases for integration.

Use data integration platforms to combine online and offline datasets, enabling a comprehensive view of customer interactions.