Modelo basado en datos para mejorar la fidelización de graduados en las Instituciones de Educación Superior

Abstract

Abstract: Alumni loyalty in higher education institutions (HEIs) is a critical necessity in a context characterized by economic challenges, globalization, and competition, all contributing to a decline in enrollments. In this scenario, the application of predictive models and data-driven approaches emerges as a strategic resource to counteract these issues and foster loyalty among graduates to HEIs. By leveraging predictive models and the data captured by HEIs, it is possible to anticipate behaviors and preferences, identify potentially retainable graduates, and tailor re-purchase strategies. This approach not only strengthens the bonds between the institution and its alumni but also serves as a catalyst for the generation of profitable business opportunities. This work highlights the ability to use data and predictive analytics to understand and anticipate the needs of graduates, improving the student experience and establishing fertile ground for the development of innovative and sustainable initiatives that drive institutional growth.