Case Study: Randstad France expands staffing services and reduces unemployment with Oracle Big Data Appliance

Randstad Expands Staffing Services and Helps Reduce Unemployment with Big Data Analytics

Group Randstad France, a market leader in staffing with 3,500 employees and more than $3 billion in annual revenue, needed to expand its services and become more competitive in a crowded recruitment market. The company sought a decision‑support capability to analyze current and historical labor‑market trends, broaden candidate searches beyond industry‑specific titles to competency‑based matching, and use predictive analytics to address regional and national skills shortages and reduce unemployment.

Randstad implemented Oracle Big Data Appliance (integrated with its Oracle Exadata environment) with Capgemini support to ingest and analyze structured and unstructured data—CVs, job descriptions, and social media—across thousands of competencies. The solution delivered faster, more accurate candidate matching, reliable forecasts of hiring demand, improved recruiter efficiency, new data‑driven services and consulting for clients and governments, and increased competitiveness by enabling proactive sourcing, training recommendations, and reduced time to fill roles.

Randstad

Christophe Montagnon

Director of Operations, Information Systems and Quality Control