Data, AI & Digital Transformation Consulting — Canada | Senegal | International
Real results for
real organizations
Discover how we've helped public and private organizations solve complex data and AI challenges with measurable, lasting impact.
Concrete, measurable, and lasting results
Confidentiality note: Out of respect for our clients' confidentiality, the cases presented are anonymized. The results indicated are representative of real projects carried out by our teams.
Data Platform Modernization for a Ministry
Context
A provincial ministry wanted to modernize its aging data architecture to improve data quality, reduce silos, and accelerate the production of regulatory reports.
Approach
Full audit of existing systems, Data Lakehouse architecture design on Microsoft Fabric, implementation of a data catalog and governance framework, progressive migration of critical data.
Results
- 60% reduction in report production time
- 40% improvement in data quality
- Full compliance with Bill 25
- Adopted by 200+ business users
Analytics Platform for a Regional Health Network
Context
A regional health network needed a unified view of its clinical and administrative data to improve operational performance and quality of care.
Approach
Clinical data warehouse design, Power BI dashboard development for managers and clinicians, implementation of predictive alerts for bed management.
Results
- 25% reduction in wait times
- Dashboards used by 500+ professionals
- Significant operational savings
- Improved patient satisfaction
Automated Regulatory Reporting Application
Context
A financial institution had to produce complex regulatory reports manually, with significant error risks and delays.
Approach
Development of an automated regulatory reporting application, integration with source systems, implementation of automatic quality controls and complete audit trails.
Results
- 80% reduction in report production time
- Elimination of manual errors
- Guaranteed OSFI compliance
- Complete data auditability
Industrialization of a Predictive Maintenance Model
Context
An energy company had developed a predictive maintenance model in the lab but could not deploy it to production reliably and at scale.
Approach
Implementation of a complete MLOps infrastructure on Azure ML, automation of training and deployment pipelines, model performance monitoring, integration with SCADA systems.
Results
- Model in production in 8 weeks
- 30% reduction in unplanned outages
- Significant maintenance savings
- Complete governance and traceability
Data Architecture for an International Organization
Context
An international organization operating in multiple countries needed a unified data architecture to consolidate program data and improve reporting.
Approach
Multi-country data architecture design on Azure, implementation of data governance adapted to sovereignty constraints, development of program tracking dashboards.
Results
- Unified view of data from 15 countries
- Compliance with data sovereignty requirements
- Consolidated real-time reporting
- 35% reduction in infrastructure costs
Learning Analytics Platform
Context
A higher education institution wanted to better understand student success and dropout factors to improve pedagogical interventions.
Approach
Development of a learning analytics platform, integration of LMS, SIS, and HR data, predictive dropout risk models, dashboards for academic advisors.
Results
- 20% reduction in dropout rate
- Early identification of at-risk students
- Adopted by 100% of advisors
- FERPA compliance guaranteed
Have a similar project?
Let's discuss your context and how we can support you.
Ready to write your success story?
Let's discuss your challenges and explore how we can deliver measurable results for your organization.