Practice Big Data Analytics (28.3.4) - Digital Transformation and Financial Technology (FinTech)

Practice: Big Data Analytics

Lesson 28.3.4Digital Transformation and Financial Technology (FinTech)

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8 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is Big Data Analytics?
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Think about what 'big data' means.
Question 2.
How does Big Data improve risk assessment?
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Consider why companies would want to predict risks.
3Question 3.
What is a primary use of Big Data Analytics in finance?
- Improving user interface
- Enhancing risk assessment
- Reducing operational costs
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Think about how companies mitigate risks.
4Question 4.
True or False: Big Data Analytics is only useful for large financial institutions.
- True
- False
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Consider the versatility of data analysis.
Question 5.
Given a dataset of customer transactions, outline a strategy to identify spending trends and risks associated with top spenders.
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Think about how customer behaviors can indicate financial risks.
Question 6.
Develop a plan to implement Big Data Analytics in a mid-sized financial institution aiming to enhance customer engagement.
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Consider the steps from technology to team training.

4 more questions in this section. Enroll free to practise them all.