Qu'est-ce que People Analytics ?

Definition

People analytics (or workforce analytics, or HR analytics) is the practice of applying data analysis, statistical modelling and data visualisation to HR data in order to generate evidence-based insights that improve people management decisions — recruitment quality, retention, performance, engagement, diversity, and workforce planning.

In practice

People analytics use cases range from descriptive (what is our current turnover rate by department?) to predictive (which employees are most at risk of leaving in the next 6 months?) to prescriptive (what interventions most effectively reduce attrition risk for high performers?). Common analytics initiatives include: predicting candidate quality from hiring funnel data; identifying the management behaviours most predictive of team engagement; modelling the impact of compensation changes on retention; and building workforce demand forecasts to drive proactive hiring. Leading tools include Workday People Analytics, Visier, Crunchr, and custom analytics stacks using Python/SQL/Power BI. GDPR requires that employee data used for analytics be collected with appropriate legal basis, minimised, and not repurposed for decisions the employees weren't informed about. Algorithmic HR decisions (pay, promotion, performance rating) face specific transparency requirements under EU AI Act.

Key takeaway

People analytics moves HR from gut-feel to evidence — but the most powerful analyses are those that connect people decisions to business outcomes, not just to internal HR metrics.