Fidelizaluno aims to retain students based on their satisfaction and loyalty. An analysis is made on the data of the students in order to obtain the probability that they will abandon their courses according to the variables defined by the institution. From this analysis, it is possible to understand who the “risk group” is. With this structured data, Fidelizaluno sends the responsible areas the reasons for the possible evasion and suggests an action that must be taken to the responsible sector to avoid it.

The solution is based on a portal that integrates all the information about your students (through excel or database) and using machine learning, statistics and artificial intelligence gives you an updated view of the status of active students with profile analysis, probability of dropout, satisfaction, attendance at classes, grades and possible action plans. And all information is displayed on dashboards and visual reports!

In this context, it is possible for the management areas of the institution to take proactive measures within a group of students who have a common behavior which is identified as a risk, reducing dropout. In addition, decisions are made based on data, facilitating the culture of "data driven" within the institution, gaining agility and competitive advantage.

Nesse contexto, é possível que as áreas de gestão da instituição tomem medidas proativas dentro de um grupo de alunos que possuem um comportamento comum e identificado como de risco, diminuindo a evasão. Além disso, as decisões passam a ser tomadas baseadas em dados, facilitando assim a cultura do "data driven" dentro da instituição, ganhando agilidade e destaque competitivo.