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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06082021-224517


Tipo di tesi
Tesi di laurea magistrale
Autore
MULATU, SELAM BAREGA
URN
etd-06082021-224517
Titolo
Longitudinal Analysis of Students' Performance and Retention
Dipartimento
INFORMATICA
Corso di studi
DATA SCIENCE AND BUSINESS INFORMATICS
Relatori
relatore Ghelli, Giorgio
Parole chiave
  • business intelligence
  • dimensional modeling
  • longitudinal analysis
  • students' progress
  • students' retention
Data inizio appello
25/06/2021
Consultabilità
Tesi non consultabile
Riassunto
This thesis describes the design and implementation of a business intelligence solution based on Kimball’s approach for the consulting firm Soluxioni s.r.l. The aim of the project was to conduct a longitudinal student performance and retention analysis in primary, lower secondary, and upper secondary schools in Tuscany region, using the accumulated students’ historical data in the transactional database of Tuscany Regional School Office, a customer of the firm. The solution produced a data-driven analytical reports to help executives and managers in decision making in planning educational activities.
The thesis describes the requirements analysis and specification, the initial data marts conceptual design, the logical design phase, the extract, transform and load process, the data cube and finally the report development.
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