At a Glance
Eramet, a global mining and metallurgy leader, turned to DataGalaxy to unify its widespread data ecosystem across 20 countries. Facing the challenge of aligning business and technical teams under a cohesive data governance framework, Eramet sought a solution that could bridge their knowledge gaps, surface hidden knowledge, and turn abstract governance into tangible business value.
By leveraging DataGalaxy, Eramet now empowers its teams to collaborate more effectively, clearly define business terms, and map data lineage across operations. This structured approach has not only increased trust in data but also significantly improved reporting accuracy and operational efficiency.
“With DataGalaxy, the mapping of data sources is now clear and shared with everyone, enabling knowledge to be capitalized. Thanks to our Business Glossary, our business terms are defined by various teams, enabling better collaborative work and more reliable reporting. Our employees feel much more involved in the process and contribute to the growth of data governance.”
12k
employees
3.7B €
supported by traceable data
1
central platform
Accelerating energy transition & innovation
Eramet’s journey with DataGalaxy began by prioritizing use cases based on strategic value across its diverse subsidiaries. Using an agile implementation model, they rolled out iterative data governance projects tailored to both business and technical teams. By centralizing knowledge in their Business Glossary, Eramet’s teams now collaborate around shared definitions, producing reports that are trusted and adopted across departments.
As Eramet continues to invest in high-growth, sustainability-driven areas like lithium and battery recycling, the ability to trace data lineage is more critical than ever before. With DataGalaxy, Eramet’s data governance has evolved from a conceptual initiative to an operational asset, actively contributing to their vision of responsible industrial growth. Since their DataGalaxy implementation, Eramet’s teams have streamlined communication, improved data accessibility, and reduced data knowledge fragmentation across multiple information systems.
