4. Use Predictive Analytics to Address Retention Risks Beyond tracking current metrics, using predictive analytics can help companies anticipate and address retention risks before they become larger issues. ● Identify At-Risk Groups: Some businesses use data analytics to detect patterns in turnover, which allows them to create targeted solutions. For example, if speciûc roles have high attrition, the company can re-evaluate job requirements or improve training programs to better support these employees. ● Proactive Adjustments: Predictive analytics can indicate potential problems in advance, giving businesses time to address issues like employee dissatisfaction or lack of advancement options before they become serious enough to impact turnover. Example Eastridge applies predictive analytics to help companies identify potential retention issues. For instance, if data shows that employees often leave due to limited career development, they may recommend professional development programs to address these concerns before attrition becomes an issue.