Case Study: Webhelp achieves a 40% reduction in employee attrition with Dataiku

Reducing Employee Attrition Rates With AI

Webhelp, a multinational business process outsourcing company with 90,000+ employees across 50+ countries, faced rising attrition risk after rapid growth and needed a scalable way for managers and HR to identify and support at‑risk employees. Working with their consulting arm Gobeyond Partners, Webhelp adopted the Dataiku platform to build the People First solution — a combined machine‑learning and human‑centered process that surfaces employees who need a “care conversation.”

Dataiku powers the People First platform, handling data ingestion, modeling, scoring and explainable outputs so managers can prepare targeted interviews. Using Dataiku, Webhelp reduced resignation risk by 40% for employees flagged and interviewed, cut country rollout adaptation time from five days to half a day, improved data‑team efficiency by 50%, and achieved 80%+ manager adoption in deployed countries. Dataiku’s integration and white‑box modeling also enabled faster productionization and clearer collaboration between data scientists and HR.

Webhelp

Schéhérazade Vérelle

Global HR Project Director