Retention and Attrition Analytics
Maestro Workforce Analytics
Regular employee attrition has become a higher cost to an organization. It has been identified that a average employee exit costs 33% of their annual salary. Job postings, hiring processes, paperwork and new hire training are some of the common expenses of losing employees and replacing them. Additionally, regular employee turnover prohibits your organization from increasing its collective knowledge base and experience over time. It is important to identify what causes attrition and how they can be mitigated. The solution will help companies to predict why and when attrition can happen and how to prevent it. It will highlight the major reasons behind employee attrition via dashboards and help in estimating the attrition rate of the employees.
Solution Overview
Advanced Machine Learning algorithm using Python to identify attrition reasons and predict employees who will leave the organization
Business Outcomes
Answer questions such as
Why do employees leave the organization
Are top performing employees are likely to leave
What steps need to be taken to reduce attrition among high performers
Retain talented resources
Take effective measures to mitigate attrition
Reduce cost of hiring of hiring new employee
Preserve employee productivity by planning in advance
