Data Governance: Data Control Implementation for a Leading Pharmaceutical Laboratory in Ophthalmology
David Walter • 6 novembre 2025
Project Context
As part of its ERP renewal, a major European pharmaceutical laboratory faced critical issues in data quality and structure.
Errors and inefficiencies caused by uncontrolled data represented a significant cost to the organization, directly impacting processes and performance.
Objectives
The main objective was to implement a robust data governance framework to:
- Secure the quality of data used in Data & AI projects
- Structure and document datasets to facilitate exploration and reuse
- Ensure regulatory compliance and reliability of business analyses
Mission Duration
A long-term assignment with a dedicated technical consultant to support the group’s ongoing Data maturity improvement.
Implementation
Agaetis deployed a progressive and pragmatic approach:
- Analysis and identification: Mapping article data and identifying quality gaps
- Challenge and structuring: Controlling data transformation flows and clarifying processes
- Documentation: Creation of data catalogs and traceability for datasets
- Annotation & labeling: Integration of labeling processes to improve the performance of future AI models
- Continuous support: Knowledge transfer and awareness sessions for business teams
Results Achieved
- Improved data quality
- Cost optimization
- Sustainable structuring: Strong foundations established for future Data & AI projects
- Guaranteed compliance: Better control of data in line with pharmaceutical regulatory requirements
Key Success Factors
- Expertise in Data Governance applied to the pharmaceutical sector
- Pragmatic approach focused on measurable results and cost efficiency
- Tailored support with a dedicated technical consultant
- Close collaboration with business teams to ensure adoption
And You?
Are you wondering about:
- Bringing your data under control to strengthen your Data & AI projects?
- Improving the quality of your critical datasets?
- Integrating governance processes to meet regulatory requirements?
👉 Contact our experts to turn your data into a true strategic asset.
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.
