Malakoff Humanis is one of France’s leading mutual insurance and social protection providers. As regulatory pressure increased and data usage expanded across the organization, the company recognized that its existing data catalog and governance practices were no longer sufficient.
Facing slow adoption, limited business engagement, and a stagnant governance strategy, Malakoff Humanis launched a transformation initiative to modernize its approach, strengthen compliance, and generate measurable business value from data.
A core principle guided this initiative: effective data governance must be collaborative, business-aligned, and fully integrated into operational processes.
Challenges
Malakoff Humanis encountered several structural and organizational challenges:
- Stagnant data governance strategy with limited adoption
- Lack of shared data language across IT, data, and business teams
- Insufficient visibility into end-to-end data flows
- Growing regulatory and audit requirements
- Manual and time-consuming impact analyses
- Redundant reports, tools, and algorithm development
The organization needed a solution that could go beyond static documentation — enabling visibility, collaboration, compliance, and operational efficiency at scale.
Why DataGalaxy
Malakoff Humanis selected DataGalaxy based on three key criteria:
- End-to-end data lineage capabilities, ensuring complete transparency
- Business-friendly interface encouraging cross-functional adoption
- Centralized platform connecting IT, data, and business teams around shared definitions
This combination enabled the company to transform governance from a compliance requirement into a performance accelerator.
“Using DataGalaxy has brought us many concrete results. Today, we have more than 1,000 pieces of data referenced, available, and accessible. We have around fifteen applications that we have managed to reference and link to the DataGalaxy tool.”
DataGalaxy implementation
Malakoff Humanis implemented DataGalaxy to create a collaborative and scalable governance framework.
The teams:
- Centralized metadata and business definitions into a shared hub
- Mapped end-to-end data lineage across systems and processes
- Enabled faster and more accurate impact analyses
- Strengthened governance workflows to support regulatory audits
- Structured data assets to prepare for AI-driven initiatives
This approach provided full visibility into how data flowed across the organization, increasing both transparency and trust.
Outcomes
With DataGalaxy, Malakoff Humanis is now able to:
- Increase governance team efficiency by 40%
- Reduce audit preparation time and associated costs
- Strengthen regulatory compliance and reduce risk exposure
- Avoid redundant reports, tools, and algorithm development
- Improve data quality and organizational trust
- Accelerate response time to operational issues
- Prepare teams for advanced and AI-driven use cases
As a result, Malakoff Humanis has reduced regulatory fines, shortened time-to-value for data projects, and transformed governance into a measurable driver of operational performance.
Key takeaway
Modern data governance must drive both compliance and performance.
By combining end-to-end visibility, collaboration, and business alignment, DataGalaxy enables Malakoff Humanis to turn governance into a strategic asset that reduces risk, improves efficiency, and accelerates data-driven innovation.
