Practice Case Studies (18.5) - Data Science for Business and Decision- Making

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does customer churn refer to?
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Think about the customers a company loses.
Question 2.
What type of model can be used to predict customer retention?
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These models sort data into categories.
3Question 3.
What is customer churn?
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Think about the customers they lose.
4Question 4.
Which technique was used to identify fraudulent transactions in the last case study?
- Regression Analysis
- Anomaly Detection
- Time Series Analysis
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It involves spotting irregularities.
Question 5.
A telecom company developed a model to predict whether a customer would leave. Discuss how they might use this information to build loyalty programs.
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Consider who is at risk of leaving.
Question 6.
Critique the advantages and disadvantages of using linear programming in inventory management decisions.
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Think about the models and data quality.

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