The client sought to transform its R&D bioinformatics capabilities, enabling efficient single-omic operations and facilitating multi-omics integration. They needed to harmonise data practices, define roles and responsibilities and plan a major organisational change.

Our Approach

We assessed existing capabilities, designed a technical and operational architecture and planned a transformation with support to harmonise multi-omics R&D.

• Assessment & strategy development: Conducted interviews and workshops to evaluate single-omic and multi-omic needs and recommended a data-mesh architecture with defined data domains.
• Technical architecture & operational model: Designed a FAIR technical architecture, defined technologies and pipelines, and clarified roles and responsibilities.
• Transformation planning & support: Planned a twelve-month transformation with resource estimates, harmonised data formats, consolidated teams and provided long-term implementation support.

The Outcome

• Delivered a customised solution design ensuring data are findable, accessible, interoperable and reusable.
• Unified teams into data domains and provided documentation for omics pipelines.
• Empowered the client to own the solution and make informed implementation choices.
• Set the stage for multi-omics discovery by harmonising data practices and establishing a clear roadmap.

Why It Matters

Effective data-management strategies enable large organisations to leverage omics data for discovery. By harmonising processes and defining clear ownership, the client maximised its potential for innovation and efficiency.