Unearthing Value: Data-driven Approach to Contingent Workforce Management (CWM)

In an increasingly volatile and fast-paced business environment, contingent labor is becoming a key driver of agility and specialized talent access. However, managing this workforce segment comes with challenges, including sourcing, compliance, planning, and visibility. Hence, leveraging advanced analytics and integrated technologies is essential to stay ahead. The need for data-driven, smarter, tech-enabled approaches is urgent. Organizations can gain real-time insights, optimize decision-making, and forecast talent needs more precisely by leveraging predictive and prescriptive analytics, along with technologies such as Artificial Intelligence (AI)/ Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA).
In this Viewpoint, Everest Group explores how data-driven strategies and advanced analytics transform Contingent Workforce Management (CWM). It offers a strategic roadmap to embed analytics into CWM programs, improve efficiency, and deliver long-term value across stakeholder groups.