What Is HR Analytics?
HR analytics (also known as people analytics) is the process of collecting, analyzing and applying employee data in order to improve critical talent and business outcomes. HR analytics enables HR leaders to inform talent decisions, improve workforce processes and create a positive employee experience.
In other words, HR analytics makes it possible to make decisions based on "what the data shows" rather than "what we feel." It makes many areas measurable, from recruitment to performance and from absenteeism to employee engagement.
Why Is HR Analytics Important?
A well-designed HR analytics approach provides businesses with the following benefits:
- Better hiring decisions: You see which sources bring in the most qualified candidates.
- Employee retention: You notice turnover signals early and take precautions.
- Increased productivity: You identify bottlenecks in processes with data.
- Budget optimization: You connect HR spending to concrete returns.
Types of HR Analytics
HR analytics is usually addressed at four maturity levels:
1. Descriptive Analytics
Answers the question "What happened?" It reports past data such as absenteeism rate, headcount and leave distribution.
2. Diagnostic Analytics
Focuses on the question "Why did it happen?" For example, it investigates the causes of a high turnover rate in a particular department.
3. Predictive Analytics
Answers the question "What might happen?" It predicts future trends (for example, turnover risk) using past data.
4. Prescriptive Analytics
Produces answers to the question "What should we do?" and offers action recommendations.
Which Metrics Should You Track?
The key metrics frequently used in HR analytics are: employee turnover rate, time to hire, cost to hire, employee engagement score, absenteeism rate and return on training investment.
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