Retain your workforce through data science.
- Staff turnover is one of the biggest problems facing the business environment in Czech Republic.
- € 2.8 billion/year negative impact to GDP due to employee turnover, driven by lost effort & lower productivity
- 20 % average voluntary employee turnover rate
The EY People Analytics platform provides insights into the reasons driving employee turnover in your organization, using a proprietary approach that combines EY’s rich experience in HR Advisory with data-driven observations & predictions using Machine Learning algorithms. Becoming an anticipator HR.
We extract relevant data from internal HR system.
We proceed data to generate meaningful insights & predict future leavers.
We co-design an intervention plan to reduce employee turnover, tailored to your business.
1. Get a clear picture of how turnover happened in your organization
Descriptive analytics to easily understand how turnover evolved historically.
2. Put a number on the organizational cost of employee turnover
Financial impact assessment based on customizable taxonomies, allowing teams to quickly build a business case for an intervention plan.
3. Predict future leavers
Machine learning model to predict which employees are at risk of leaving in the next 12 months, constantly improving its prediction capability over time.
Only 11% of global leaders see their HR teams as anticipators. We’re on a mission to change that. Let's connect.
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