How can data be used to help with churn prediction?

Both HR and Marketing departments can benefit from using data, analytics, and AI for churn prediction. Churn prediction is the ability to identify customers or employees who are likely to leave or disengage from a company. Here are some good use cases: 

1. HR department: The HR department can use data analytics and AI to predict employee churn. They can analyze factors like employee satisfaction, tenure, job performance, and salary to identify employees at risk of leaving the company. This can help the HR department take proactive measures to retain top talent, such as offering training and development opportunities, increasing compensation, or improving work conditions. 
2. Marketing department: The marketing department can use data analytics and AI to predict customer churn. They can analyze customer behavior, engagement, and preferences to identify customers who are at risk of leaving or switching to a competitor. This can help the marketing department take proactive measures to retain customers, such as offering targeted promotions or personalized recommendations.