Predict employees likely to leave & take preventive measures before its too late
High performing employees undoubtedly have a pivotal role in contributing to the growth of any organization. But sometimes they
just quit, at the time when you least expected it to happen. This could take a hit on the undergoing projects and ultimately lead to
revenue loss for the organizations.
Early Warning System, leverages predictive analytics and helps you to find the employees at risk. At the same time, it tries to identify
the underlying reasons which render them to leave. All this happens by identifying the hidden patterns in the historic data along
with the help of our sophisticated predictive algorithms.
Being aware of the underlying parameters that could be responsible for attrition gives you the flexibility and time to can act
accordingly. Now, you can take prior preventive measures to avoid the churn before its late, and help you save costs since the cost
of retaining an existing employee is far less than acquiring a new one.
Choose prediction model
Upload more train and test data and choose contributing factors
View the list of candidates with the factors contributing to their churn
What-IF Analysis: Change parameters to identify how churn of different candidates varies
Analyze accuracy of different prediction Models and choose the most suitable
Segment your Long-Term Loyalist, Loyalist and Newbies
Analyze the dashboard for the new uploaded data