The hardest parts of a regulated statistical computing environment (SCE) modernization are not technical. UCB's multi-year DELTA program shows how process re-engineering, strict scope discipline, and early QA alignment determine success far more than the technology itself.
UCB found that no single person fully understood their end-to-end statistical computing workflow from data ingestion to submission. Completing this mapping discovery first prevents rework during final GxP validation.
Involving compliance stakeholders in your planning workshops from day one gives them technical visibility and transforms them into active, collaborative participants. This removes the bottleneck of late-stage review cycles.
Requirements naturally expand through gradual edge-case accumulation or direct stakeholder additions. Teams must formalize a recurring cadence to revisit and actively contain what they deliver.
Every new SCE comes with an initial learning curve that causes a temporary efficiency dip. Onboard a standard, non-critical study first to allow users to build confidence.
Generic platform training fails to change daily programming habits. Adoption requires day-in-the-life workflows and should start with instructor-led sessions before transitioning to online modules.
A tight core team drives faster alignment on critical platform configurations, while an extended champion network handles the broader work of mentoring individual study teams.
In April 2026, global biopharmaceutical company UCB went live with a fully validated, GxP-compliant statistical computing environment built on Domino under their multi-year DELTA program. Tim Williams, Statistical Solutions Lead, maps out the blueprint of this transformation, arguing that technical implementation is secondary to people and process discipline.
Tim compares upgrading your statistical computing environment to moving to a new house. Leaving reveals what’s been accumulated over decades and the true complexity of your legacy footprint only becomes entirely visible when you begin packing up what needs to move. You can’t install modern technology directly into a decades-old workflow and expect it to run faster. You must rebuild the core business processes around how the new platform functions.
To manage this shift without impacting submission timelines, UCB structured three distinct environments that mirror the lifecycle of a trial: a development workspace for process testing, an acceptance environment that serves as a risk-free training sandbox, and a locked-down production layer for live clinical deliverables. They bypassed the typical checkbox validation exercise, choosing instead to run real-world study scenarios through the platform to surface workflow gaps early. By building a compliant, interactive user manual straight into their intranet and deploying local champions directly onto early study teams, UCB turned what could have been a disruptive migration into a self-sustaining foundation for advanced computing.
