Domino Statistical Computing Environment (SCE)

Domino Flows takes SCE workflow orchestration to the next level. Leverage the broadest set of tools, languages, and infrastructures, with all the necessary controls and governance to stay compliant.

• Flexibility to share and reuse any flow to enhance collaboration
• Efficiently orchestrate thousands of resources and tasks quickly and reliably
• Enhanced compliance with accurate, traceable, and reproducible records of data analysis and reporting
• Visualize, monitor, and troubleshoot flow executions

Domino supports the broadest set of open source and commercial tools and languages, including Python, R, and SAS, and is future-proofed so your team can keep pace with the ever-expanding set of tools and infrastructure.

Benefits:

• Statistical programmers can use the tools, data, and languages of their choice
• Easily access any data source and scale compute as needed
• Future-proof for instant access to new tools and infrastructures
• Run workloads anywhere, on-premises, in the cloud, multicloud, or hybrid

Domino becomes your single source of truth for bringing teams together, sharing knowledge, and bridging the gap between data science and IT. Make your data and workloads findable, accessible, integrated, reproducible, and reusable.

Benefits:

• Simplify collaboration with internal peers, CROs, regulators, and other key stakeholders
• Data scientists can use R, SAS, or Python interchangeably on the same project
• Compound knowledge, eliminate silos, and reuse proven code to accelerate time to insight
• Create and share interactive, code-free applications, enabling stakeholders to explore models and results without needing programming expertise
• Onboard new users faster, attract and retain talent, and upskill teams more effectively

Domino Governance is a comprehensive solution for governing SCE workflows by seamlessly creating and automating quality control (QC) policies, ensuring compliance, reducing data risks, and accelerating clinical studies.

Benefits:

• Create customized QC policies that can be enforced throughout the development process
• Automate approval workflows. Once a QC step is completed, it can automatically trigger the next step in the process.
• Integrate with existing workflows, allowing for the attachment of files, models, and other outputs directly within the governance bundle
• Track and trace. This includes tracking changes to files, recording approvals, and maintaining a complete history of all actions taken within the governance dashboard.

Domino provides granular governance without compromising flexibility. It offers out-of-the-box traceability and reproducibility of results in fully audited and versioned job executions, including QC.

Benefits:

• Automated audit trails of every job execution in a project, including a comparison of the output before and after the execution
• Easily view immutable records of the input data, code, environment, and output data versioning for full traceability
• Demonstrate 100% reproducibility of statistical results, including all artifacts and dependencies, in accordance with health authority requirements
• Supports compliance with 21 CFR Part 11, EudraLex Annex 11, WHO Annex 5, GDPR, and HIPAA requirements

GSK adopted the Domino platform to modernize its SCE, uniting siloed systems across its Pharmaceuticals and Vaccines divisions. With Domino, GSK accelerated clinical reporting, improved regulatory traceability, and empowered teams with a flexible, scalable platform for both GxP and exploratory work — all in service of bringing medicines to patients faster.

James Black shares how Novartis is building a unified scientific computing environment to support both exploratory and regulated work across clinical development. Learn how the team is isolating validation, supporting diverse roles from programmers to data scientists, and using workflow abstractions to drive efficiency at scale without compromising compliance.