Case Study: CINECA Consorzio Interuniversitario achieves earlier identification and reduced student dropout risk with Strategy’s MicroStrategy Dossier solution

An Advanced Analytics and Dossier Solution to Control Student Dropout

CINECA Consorzio Interuniversitario tackled a major national challenge: Italy’s university dropout rate sits around 40%, well above the Western European average, causing wasted investment in skills development. The Osservatorio Abbandoni project set out to predict which students are at risk of abandoning their studies by leveraging socio-demographic, academic and performance data from university data warehouses.

Using MicroStrategy to combine historical data with R-based machine learning, CINECA built interactive Dossier dashboards that display both predictive scores and traditional metrics by student age, gender, residence, school of origin, grades and progression speed. The solution gives statistical offices, department leaders and quality teams clear, filterable insights to identify at-risk students early and trigger targeted interventions (contact, tutoring, course recovery), improving the ability to prevent dropouts.

Cineca

Federico Gallerani

Solution Consultant