Data-driven policy making
Data is a powerful lever for identifying best practices that are often hidden within the complexity and volume of diverse educational contexts. Public stakeholders are designing and managing the educational policies of tomorrow within an increasingly digital environment. To effectively reach large and heterogeneous audiences, data-driven decision making is essential. We collect, analyze, and contextualize data to help shape digital strategies that genuinely serve the needs of the educational community.
Project example :
National Audience Measurement System for VLEs
Client : French Ministry of Education


Context
The Dispositif National de Mesure d’Audience (DNMA – National Audience Measurement System) for Espace Numérique de Travail (VLE – Virtual Learning Environments) is a national tracking system based on an external tagging solution. This solution adheres to a shared technical specification that defines and structures the content of the tracking markers. It enables data comparability across platforms and ensures high reliability, supporting performance assessment and improved management of VLE usage. The DNMA equips decision-makers across all levels of the education system—national, regional, and local—with robust data tools: from the Ministry and regional education authorities to local governments (regions, departments, districts, municipalities), schools, solution providers, and partner organizations.
- Track usage across all ENT platforms, at both national and territorial levels;
- Complement the native indicators of each ENT platform, which differ in naming conventions and data collection methods;
- Serve as a management and decision-making tool for local authorities and the Ministry of Education overseeing ENT projects.

Objectives

Results
- Implementation across over 100 local authorities;
- User training and support;
- Data analysis and dashboard creation;
- Design and implementation of both functional and organizational improvements within a complex, multi-stakeholder ecosystem.