Turnover prediction
Identify employees at risk of leaving using multiple HR signals.
-15%
turnover reduction
The problem
No reliable steering on turnover prediction.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
People risk rises (turnover, absence, costs).
Prerequisites: required data & tools
Required data
- HRIS
- évaluations
- mobilité interne
- absentéisme
Compatible tools
- Visier
- Peakon
- custom ML (Python)
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Identify employees at risk of leaving using multiple HR signals. with measured impact on turnover reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for turnover prediction
Operational engine for turnover prediction
Steering dashboard with alerts
Action playbook and governance
Expert insight
Cost of a departure = 6–9 months of salary. Sensitive topic: GDPR and ethics must be addressed.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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