Data-driven HR practices mean using information and special tools to make better decisions about people at work. Instead of just guessing, HR (Human Resources) professionals use facts and numbers to understand things like finding the right people for a job, making sure employees are happy and motivated, and figuring out how to help them grow in their careers.
For example, when hiring new employees, HR uses data to see which ways of advertising jobs work best and to learn more about the people who apply. This helps them find the best candidates more quickly.
When it comes to keeping employees happy and motivated, HR looks at data from surveys and other sources to see what's going well and what needs improvement. Then they can make changes to make work better for everyone.
When evaluating how well employees are doing their jobs, HR looks at data like performance reviews and feedback to understand what they're good at and what they can improve on. This helps managers decide who should get promotions or special training.
To keep good employees from leaving, HR looks at data about why people leave and what makes them want to stay. Then they can make changes to the workplace or offer better benefits to keep employees happy.
Finally, HR uses data to plan for the future of the company. They look at trends and predictions to see what kind of people the company will need in the future and make sure they're ready for any changes.
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Leading Global Payroll Innovations | Global Payroll Advisor | Board Member |
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