Portail web softia

Objective: Forecast annual student enrollment to enable strategic planning at national, academic, and departmental levels.

Objectif Moderniser et digitaliser un outil de prévision des effectifs dans l’enseignement supérieur pour une planification stratégique à l’échelle nationale et académique._Softia_ESN

Description: Development of a forecasting tool for secondary education enrollment, allowing the generation of specific reports and departmental and academic summaries. The project includes the integration of an annualized forecasting workflow, customization of statistical exports, and strategic advisory support for the client. Delivered within just two months with a budget of €24,000, the application leverages the Symfony framework and an Oracle database, hosted in the ministry’s secure facilities.

Objective: Centralize and visualize academic and departmental indicators to facilitate statistical analysis and decision-making.

Objectif Centraliser et visualiser les indicateurs académiques et départementaux pour faciliter l’analyse statistique et la prise de décision._Softia_ESN

Description: Development of a tool dedicated to the centralization and analysis of academic and departmental statistical data. The project includes the creation of specific export systems in DOC, PDF, and XLS formats, as well as advanced graphical visualizations (hexagonal maps, histograms, scatter plots, radars). Delivered in just six months with a budget of €80,000, the application is built on a modern technological architecture using PHP5, Oracle, and Solaris. Hosted within the ministry’s secure facilities, it ensures optimal availability and meets strict institutional standards.

Objective: Optimize master data management to enhance the quality of administrative and decision-making processes.

pexels-energepic-com-27411-159888_Objectif Optimiser la gestion des données de référence pour améliorer la qualité des processus administratifs et décisionnels._Softia_ESN

Description: Maintenance and evolution of a Master Data Management (MDM) solution to centralize and harmonize critical data for the university. The project includes an initial audit, consulting, development of functional enhancements, and deployment in a production environment. Based on Agile methodology, it relies on MDM EBX and BPM Bonita technical frameworks to automate workflows. Delivered over a 24-month period, with tacit renewals, the project leverages modern technologies such as Java, J2EE, NodeJs, API REST/JSON, and GitLab, hosted on a secure Linux-based infrastructure.