Case Study: Randstad Group achieves smarter staffing and reduced unemployment with Oracle Exadata

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

Randstad Group France, a major staffing and HR services provider, needed a smarter way to match candidates with jobs, forecast labor market trends, and expand its services in a highly competitive recruitment market. Using its existing Oracle Exadata environment, the company looked for a data platform that could support deeper analytics and more predictive decision-making.

Oracle Exadata helped Randstad implement big data analytics and predictive forecasting across structured and unstructured data such as CVs, job descriptions, and social media. The solution improved recruitment speed and match quality, enabled analysis of more than 1,000 qualifications and 11,000 competencies, and helped Randstad anticipate job openings and candidate supply more accurately—boosting competitiveness, operational efficiency, and data-driven consulting for clients and job seekers.

Randstad Group

Christophe Montagnon

Director of Operations, Information Systems and Quality Control