Our proprietary and AI enabled multi-stage decision-making framework to determine optimal prospect thresholds. We bring a sophisticated process and analytical rigor to plan for and deliver bottom-line improvement.
Individualized approach along with a systematic analysis of enrollment and admission markers enable universities to address recruitment, tuition and budgetary concerns to acquire the best talent pool. Our scalable machine learning approach exploits each stage of the enrollment in depth to drive yield improvement while optimizing tuition discounting.
© Copyright 2019 , All Rights Reserved