Predicting Employee Churn with Data Mining

Use Data Mining to Identify Employees at Risk of Churn For organizations that have a lot employees that are in high turnover positions predicting employee churn with data mining can help to reduce and retain top talent.  By collecting data on employees and then building a predictive model using employees that have left the organization.  You can create models that will give you new insights into the characteristics of employees that are at risk of leaving.  By having this score you can then match up the performance of the employee to determine options to keep your talent and prevent them from leaving.  For example a call center, sales team, or temporary agencies could all benefit from building models to determine why employees are leaving. Build the Model For this example model, I used a sample dataset that contains various information for each employee.  This data contains both customers that are [...]