Current Situation
Education is changing in unprecedented ways — and, with it, the workforce. Workforce shortages and industry volatility require intelligent and nimble approaches that leverage relationships and data to retain talent, attract new people, and generate loyalty to the organization. Institutions are currently limited in the predictive workforce capacity, posing challenges for institutions as the industry struggles with turnover, burnout, and unreliable talent pipelines.
Goals and Objectives
Provide insight on trends and opportunities to bridge actual and forecast talent gaps as well as to undertake proactive compliance and screening measures. Drive processes that intelligently and quickly onboard new hires, distribute continual learning and engagement to existing workers, and shape the dynamics of a positive internal environment through resonant messaging.
Technology Deployed
HR/HCM, web-based learning platforms, learning management systems, predictive analytics, AI and ML, cloud infrastructure and platforms
Use Case Summary
Predictive workforce management aligns an institution’s human assets with data-driven capacity development measures to ensure learning is lifelong, talent is available, and workers are prepared.