Employee churn is a critical challenge for businesses, where the objective is to predict which employees are likely to leave based on various factors such as tenure, job satisfaction, and salary. Understanding these patterns allows organizations to take proactive measures to improve retention and reduce turnover.
In this scenario, you will analyze real-world business data to develop a classification model that can help identify at-risk employees. By applying machine learning techniques within the SAP HANA Cloud environment, businesses can efficiently process large datasets and generate insights to inform decision-making. SAP HANA’s machine learning capabilities enable organizations to integrate predictive analytics into their workflow, making churn reduction a more data-driven and strategic process.