José Claude R.

Evaluation of the Dataiku DSS data analysis platform for deployment within Arkea Investment Services, the asset management division of the Arkea group, and its portfolio management companies (Fédéral Finance Gestion and Schelcher Prince Gestion).

The project aims to study needs and then equip all data stakeholders within AIS: Managers (Index, Quant, etc.), Risk, ESG Research, Data Analysts, Data Engineers, Quality Analysts... for expert and non-expert technical profiles.

Member of the "Data, Analytics & Innovation" team, which is positioned around the Data value chain. Data collection and processing orient investment decisions by managers.

Project Management:

- Needs assessment

- Scoping with the publisher

- Organization and facilitation of steering committees (committees, weekly meetings, workshops)

- Reporting

- C-Level presentations

- Support for Business teams in developing use cases

- Training & coaching

- Platform administration

Functional and technical evaluation of the platform:

- Development of data transformation pipelines

- Data analysis (statistics + Machine learning)

- Quality control

- Production planning and monitoring

- LLM-Mesh (Generative AI)

- AI Services (Prepare, Explain, Code Assistant)

Participation in scoping phases with various publisher stakeholders:

- Architecture with Implementation Manager

- Value assessment + ROI

- Scoping of the commercial proposal

Self-employed

Work in progress:

Feasibility study of a core banking solution for an online banking account for teenagers (Banking-As-A-Service): definition of a management and payment platform, choice and implementation of infrastructure, framework, mobile app

Project Receipt:

We offer an easy-to-use and smart cloud-based and mobile solution of expense management and refund for small to mid-size companies.

We have adopted a "design thinking" approach that answers the central question " What my user needs/desires ?" and built a solution from scratch through the questioning, multiple trials and learning from a fail fast of ideas ... focusing on ease of use and a robust and fast performance application to create a fluid user experience.

Now this project is in the experimentation stage by early adopters and hopefully will get ready for a market soon.

We are also working hard to add enhanced features thanks to AI technologies (OCR, Business Intelligence, Reports, Recommendation engine) and our ambitions and roadmap to offer the most efficient design (UI + UX).