With initiatives spread across geographies and teams, Roche faced challenges in prioritizing investments, understanding value, and connecting use cases to strategic objectives.
Roche is a global leader in pharmaceuticals and diagnostics, with a strong focus on innovation in data and AI. As part of its DIA Commercial transformation, the organization needed to better structure and manage a growing portfolio of data & AI use cases across business and IT teams.
A core principle guided this transformation: data & AI initiatives must be driven, measured, and scaled based on business value.
Challenges
Roche’s data & AI landscape was expanding rapidly, creating several challenges:
- Fragmented visibility across use cases, data products, and reports
- Difficulty aligning business priorities with IT execution
- Limited ability to connect investments to strategic objectives
- No standardized framework to evaluate and prioritize initiatives
- Challenges in tracking value across the lifecycle of use cases
- Siloed collaboration across teams and regions
The organization needed a centralized, value-driven approach to manage its portfolio at scale.
Why DataGalaxy
Roche selected DataGalaxy Portfolio to bring structure, visibility, and value tracking to its data & AI initiatives.
The platform enabled Roche to:
- Centralize all use cases, reports, and data products in a unified portfolio
- Connect initiatives to strategic objectives through end-to-end lineage
- Standardize how value is defined and used to prioritize investments
- Align business and IT teams around a shared governance framework
DataGalaxy implementation
Roche implemented a structured portfolio management approach built on three pillars:
- Consolidation: centralizing initiatives across teams and geographies
- Value lineage: linking use cases to data, KPIs, and strategic objectives
- Valorization: introducing evaluation frameworks to prioritize based on business and IT value
This approach was progressively rolled out, starting with a focused scope and expanding across the organization.
Outcomes
With DataGalaxy, Roche achieved:
- 100% increase in visibility across its data & AI portfolio
- 300+ use cases, reports, and data products centralized in a single environment
- 100+ users per year gaining access to portfolio insights and governance
- 3+ value streams standardized, enabling consistent collaboration and prioritization
Beyond the numbers, Roche is now able to:
- Align business and IT around shared priorities
- Improve transparency on ongoing initiatives
- Accelerate value-based decision-making
- Increase reuse of data products and use cases
The result is a shift from fragmented initiatives to a structured, value-driven portfolio.
Key takeaway
You can’t scale AI without visibility and value alignment.
By centralizing its data & AI portfolio and embedding value into every decision, Roche transformed how initiatives are prioritized, funded, and scaled across the organization.
