Human Resources Analytics

Human Resources Analytics

As the rising value of today's Human Resources world, HR Analytics is rapidly coming to the agenda of many institutions and finds its own application area. In summary; HR Analytics is to apply future forecast-oriented data analysis methods in order to find solutions to HR problems and add value to the organization, mainly based on employee data. Based on this definition, HR Analytics seeks analytical solutions based on statistical methods and machine learning techniques.

Better organizational performance, competitive advantage, recognition of the HR function as a true strategic leader, and prioritizing HR investments are among the main benefits of these methods.

Different project designs are made for each function of HR with techniques that have a wide usage area. For example;

  • Finding the factors affecting leaving the job, estimating the probability of an employee leaving the job, thus predicting the possible risks of the company
  • Revealing the factors affecting recruitment and making the right hiring decisions
  • Forecasting a candidate's suitability for positions in the company and scheduling accurate rotations and backups
  • Revealing what type and content of training contributes to the effective performance of employees
  • Identifying segment expectations and needs by uncovering employee segments
  • Increasing productivity by determining the number of norm staff
  • Many different applications can be made, such as finding the factors affecting Employee Loyalty and their importance.