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3 Benefits of Predictive Hiring Analytics for CHROs

Source | | Emily Pribanic

Can predictive hiring analytics benefit your hiring process?

What are predictive hiring analytics and how can they improve your hiring process?

Predictive hiring analytics learn from existing data and uses that data to forecast individual behavior making predictive HR analytics an essential technology for your HR practices. Predictive hiring analytics are very specific and are used to predict the success of your new hires. Predictive analytics are so accurate because they use data mining to predict outcomes that may seem uncertain, especially without proper data. Applying a predictive hiring model to your HR practices will allow you to enhance your workforce planning and can properly predict employee performance.

Benefits of Predictive Analytics Techniques

Predictive analytics can not only help you improve your hiring decisions but also your hiring process. With predictive hiring analytics, you can make accurate decisions based on large amounts of data. Implementing a predictive hiring model into your hiring process will allow you to verify that any new hire you decide to ask to join your company will be successful. Also, with a predictive hiring model, you will be able to make your hiring process more effective by understanding areas that attract the wrong candidates and changing those areas.

Quality Hires

One major way predictive HR analytics can improve your hiring process is by improving the quality of your hires. When you develop your predictive hiring model linking the hiring process to production performance, attrition data, engagement information, and all other data from the employee lifecycle, your model will be able to properly predict the potential future job performance of any candidate.

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