Data/Cloud Architecture: Stabilization and Security of a Data Warehouse in Difficulty
David Walter • 6 novembre 2025
Project Context
A group of clinics was facing serious issues with its Data Warehouse:
- Critical data flows were either non-functional or prone to recurring errors
- Insufficient project governance led to delays and non-compliant deliverables
This situation compromised the reliability of analytics and operational continuity in a context where data is essential for managing both medical and administrative activities.
Objectives
The main objective was to regain control of the Data environment by:
- Rapidly securing ongoing milestones
- Identifying and fixing major technical gaps
- Defining a clear and shared roadmap with internal teams
Mission Duration
An emergency intervention for immediate stabilization, followed by multi-month support with the implementation of a tailored governance framework.
Implementation
Agaetis deployed a structured methodology:
- Immediate technical diagnosis: Comprehensive assessment (Data Factory, Power BI) and remediation recommendations
- Recovery and stabilization: Quick resolution of urgent issues and securing of critical data flows
- Enhanced governance: Implementation of a project governance model promoting transparency and continuity
Results Achieved
- Rapid stabilization: Drastic reduction of errors and restoration of operational continuity
- Long-term optimization: Validated roadmap with clear milestones for a controlled trajectory
- Restored reliability: Renewed confidence from business users in data exploitation
Key Success Factors
- Efficient “firefighter mode” approach for immediate impact
- Transparent communication with client teams
- Agaetis’ Data/Cloud expertise, combining technical diagnostics and project governance
- Close collaboration with business teams to ensure ownership and adoption
And You?
Are you wondering about:
- Quickly stabilizing your Data environments?
- Securing your critical data flows?
- Establishing a clear roadmap aligned with your challenges?
👉 Contact our experts to transform your Data environments into reliable and high-performance assets.
Ressources Agaetis
Project Context Michelin aimed to develop a new generation of digital services based on data from connected tires. The goal was to deliver added value to truck fleet managers and maintenance centers worldwide. The challenge lay in the collection, processing, and supervision of massive sensor data, while ensuring robustness, scalability, and relevance of analytics. Objectives The main objective was to establish a technical and architectural framework to: Efficiently collect and process data from connected tires Monitor data flows and measure the impact of business use cases Create a Big Data platform ready to evolve with growing data volumes Mission Duration A long-term engagement , combining initial architectural study, implementation of monitoring systems, and ongoing support. Implementation Agaetis leveraged its Data and Cloud expertise to: Initial architecture study: Define technological and structural choices Platform monitoring: Implement monitoring principles to ensure robustness and availability Load analysis: Evaluate the impacts of various business use cases Big Data framework definition: Integrate best practices to accelerate implementation Data Science work: Perform domain-specific analysis and develop new indicators and services Results Achieved New digital services: Creation of innovative solutions for fleet managers Robust and scalable platform: A Big Data environment ready to handle massive data volumes Operational optimization: Improved traceability and KPI tracking Enhanced innovation: Data transformed into strategic levers for Michelin Key Success Factors Agaetis’ expertise in Big Data and IoT data processing End-to-end methodology: From architecture to Data Science Immersion in the client’s business environment Proactive supervision ensuring robustness and reliability And You? Are you wondering about: Leveraging data from your connected equipment ? Creating new digital services based on Data? Implementing a robust and scalable Big Data architecture ? 👉 Contact our experts to transform your IoT data into innovative, value-generating services.
Project Context France’s first research foundation dedicated to innovation in pain management aimed to launch a market-ready application resulting from its clinical research and development program. The goal was to transform the app into a Digital Therapeutic (DTx) reimbursed by the national health insurance system. Objectives The organization focuses on driving healthcare innovation through extensive collaborations with hospitals, research institutes, universities, and technology companies. The main challenges included: Transforming an application into a Digital Therapeutic (DTx) reimbursed by the national health system. Managing the transition of patients to this new platform. Preparing a new data warehouse to support scientific research. Mission Duration 3 collaborators over 3 years Methodology Agaetis provided its expertise through targeted and structured actions: Audit of existing systems: Evaluation of current infrastructure to identify needs and areas for improvement. Decision support for partner selection: Assistance in choosing competent and reliable technology partners. Technology advisory: Guidance on application architecture, security, and scalability to ensure long-term viability. Results Achieved Development of an application supporting patients in chronic pain management, progressing toward recognition as a reimbursable DTx. Rigorous technical assessment and selection of strategic partners. Adherence to roadmap milestones , ensuring steady progress and alignment with expectations. This project highlights how Agaetis leverages its technological and strategic expertise to transform challenges into innovative, effective solutions — creating tangible value for clients in the healthcare sector.
