Employee attrition is a critical concern in organizations. All the time and effort spent by many people was, in the end, invested in something that should have lasted at least twice as much. Besides, all that internal knowledge is now out there for competitors to feed from. The cost of an employee leaving can get pretty big.
Data-driven techniques which are based on statistical learning methods exhibit more accurate prediction on employee attrition, as by nature they mathematically model the correlation between factors and attrition outcome and maximize the probability of predicting the correct group of people with a properly trained machine learning model.