Swiss Life is a leading European life insurance and retirement solutions provider, supporting innovation, regulatory compliance, and enterprise-wide decision-making through data. With nearly 10,000 employees and a growing focus on AI, Swiss Life recognized the need to better govern, document, and share data across the organization to fully unlock its value.
As AI initiatives expanded, ensuring teams could confidently access, understand, and trust data became a strategic priority.
Challenges
Swiss Life faced several challenges as it sought to scale data and AI initiatives across the enterprise:
- Fragmented data documentation across teams and systems
- Limited visibility into data ownership, lineage, and usage
- Increasing regulatory and compliance requirements
- Difficulty reusing data science assets across projects
- The need to align both technical and non-technical teams around shared data definitions
To move faster with AI while maintaining trust and compliance, Swiss Life needed a unified approach to structuring and governing data knowledge.
Why DataGalaxy
DataGalaxy was selected based on its ability to:
- Align data governance with business needs
- Provide an intuitive, user-friendly experience for both technical and business users
- Centralize documentation, ownership, and governance in one platform
- Support collaboration and data democratization at scale
This combination made DataGalaxy a strong fit for Swiss Life’s ambition to unify data practices across the organization.
“Thanks to DataGalaxy, we can finally track data end-to-end and identify data ownership. DataGalaxy has provided so many benefits for our organization, including a fully documented functional and technical use case, a thorough algorithm library, and a clear identification of ownership between IT, business, data, and BI teams.”
DataGalaxy implementation
Swiss Life adopted an agile implementation approach, beginning with a technical inventory and a clear roadmap focused on documenting and reusing data science assets.
The teams mapped how data is sourced, transformed, and shared across systems, giving full transparency into the data powering algorithms, reports, and AI use cases. Centralized definitions and reusable assets were progressively established, helping teams better understand dependencies and responsibilities.
Today, DataGalaxy supports data governance and operational efficiency across 17 systems and 30 data assets, serving as a foundation for scaling AI initiatives.
30+
assets across 17 systems
1
AI algorithm library
100%
aligned ownership
Outcomes
With DataGalaxy, Swiss Life is able to:
- Empower teams to confidently access, understand, and use data
- Accelerate the delivery of AI use cases
- Improve productivity through reusable, well-documented data assets
- Strengthen data quality, compliance, and governance
- Clarify data ownership and responsibilities across teams
- Foster collaboration between technical and non-technical stakeholders
Key takeaway
Modern AI and data-driven innovation require transparency, trust, and shared understanding of data.
By centralizing data knowledge and governance with DataGalaxy, Swiss Life has turned data into a strategic enabler—supporting faster AI delivery, stronger compliance, and a culture of confident, data-driven decision-making across the organization.
