Practice Descriptive Analytics (1.1) - HR Analytics & Data-Driven Decision Making

Practice: Descriptive Analytics

Lesson 1.1HR Analytics & Data-Driven Decision Making

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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 the definition of descriptive analytics?
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Think of how we summarize events that already happened.
Question 2.
Why is it important to analyze turnover rates?
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Consider the relationship between turnover and employee engagement.
3Question 3.
What does descriptive analytics primarily focus on?
- A) Predicting future trends
- B) Analyzing past events
- C) Suggesting actions
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Think of the role of this type of analytics as looking back.
4Question 4.
True or False: Descriptive analytics can help improve data-driven decisions in HR.
- True
- False
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Reflect on how data influences decision-making.
Question 5.
Create a hypothetical scenario where your organization's turnover rate spiked last year. Outline how you would approach analyzing this issue using descriptive analytics.
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Consider various factors that may contribute to turnover.
Question 6.
You realize that your company's absenteeism rate is high. Design an analytic approach to investigate potential causes through descriptive analytics.
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Think about how historical context can provide insight.

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