Are you losing valuable employees and struggling to understand why? AI-driven turnover prediction identifies at-risk employees by analysing behavioural and performance data, allowing you to implement targeted retention strategies.
Challenge | Human-Led Turnover Prediction | AI-Powered Turnover Prediction |
---|---|---|
Accuracy | Relies on subjective assessments and limited data. | Leverages vast datasets and advanced algorithms for more accurate predictions. |
Speed | Time-consuming and resource-intensive to manually analyse data. | Provides rapid and automated analysis of employee data. |
Bias | Prone to unconscious bias and assumptions. | Reduces bias by relying on objective data and statistical modelling. |
Proactivity | Reacts to departures rather than anticipating them. | Enables proactive intervention and retention efforts. |
Insights | Limited ability to identify underlying drivers of turnover. | Uncovers hidden patterns and provides actionable insights into employee attrition. |
Scalability | Difficult to scale across large organisations. | Easily scales to analyse data for entire workforce. |
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