Practice Predictive Analytics (1.2) - HR Analytics & Data-Driven Decision Making

Practice: Predictive Analytics

Lesson 1.2HR Analytics & Data-Driven Decision Making

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10 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is predictive analytics?
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Think about how we can look at past data to understand the future.
Question 2.
How does predictive analytics differ from descriptive analytics?
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Consider what each type is trying to achieve.
3Question 3.
What is the focus of predictive analytics?
- Understanding past data
- Forecasting future events
- Suggesting actions
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Think of future trends and forecasts.
4Question 4.
Descriptive analytics looks at what?
- Interactions with employees
- Suggestions for improvement
- What has happened in the past
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Remember the focus on outcomes and reporting.
Question 5.
Your HR department has been facing high turnover. Using predictive analytics, outline a strategy to identify and address the causes of this turnover.
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Consider which data points are most relevant to employee decisions.
Question 6.
Discuss how predictive analytics could improve diversity and inclusion within an organization.
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Think about how data can highlight areas needing improvement.

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