Context and issues

As part of a project called “Labs”, SoyHuCe was mandated to pilot 2 waves of “Labs” representing a total of 9 cross-functional teams for 2 x 3 months.

• Supervise each Lab for 3 months;
• Conceive, express and formalize the projects of each Labs;
• Ensure progress and supervise the indicators and milestones;
• Directing and coordinating research;
• Lead the working groups. 

Missions carried out

• Support for innovation and management of the 9 labs (IA, Agency Scoring, Portfolio Monitoring, Agency Mapping/Profiling, e-reputation, risk e-visit, steering tool, control plan, RIB).
• Support and technical expertise on development and data science subjects: evaluation of technical proposals, design of tool architecture, agile development management, technical recommendations, data science methodological reviews, etc.
• Technical and strategic recommendations on the means and resources for IT development and data exploitation. 
• Support and advice on specific technical points: audit of development service providers’ files, advice on the deployment of applications and web solutions, Data Science support (objective, work management).
• Coordination with the Data Lab department and the innovation department (DSI). 
• For some labs, initial design thinking workshops to bring out the blocking points, sketch out the solution, prioritize the functionalities and define the architecture of the envisaged solution.

Results

• Provision of initial, intermediate and final reports summarizing the actions carried out, the recommendations and a cost/benefit analysis of the recommended actions.
• For technical expertise and design thinking: production of study reports, prototypes and design support materials.