Case Study: Allegis Group achieves 4x faster candidate matching with Cloudera Enterprise

Allegis Group Finding the Right Employee for Every Position with Machine Learning

Allegis Group, the world’s largest privately held talent solutions company with 500+ offices across 34 countries, faced a challenge: manual résumé searches and siloed legacy systems made it slow and difficult to match the right people to the right jobs while protecting candidate privacy and complying with global regulations. The company wanted to become truly data driven to uncover deeper insights about skills, roles and client needs.

Allegis built a multi-tenant enterprise data hub on Cloudera Enterprise that ingests 55 million résumés and diverse data sources, uses Apache Spark and machine learning to auto-match candidates, and supports real-time indexing and analytics. The solution delivers matches four times faster, enables richer inferred insights (for example, identifying domain experience even when keywords aren’t present), provides more valuable client analytics, strengthens data governance, and improved IT capability and retention.

Allegis Group

Salema Rice

Chief Data Officer, Global Head of Data, Analytics & Information Management