Domino Statistical Computing Environment (SCE)

Modernize end-to-end clinical trial analytics

Driving more efficient, flexible, and collaborative clinical studies

Domino is a modern, flexible, and extensible Statistical Computing Environment (SCE) that offers language, IDE, and workflow flexibility and tracking – with full traceability and reproducibility.

The platform includes a robust data-sharing framework for more efficient delivery of statistical analyses for clinical submissions and other post-hoc analyses.

Statistical programmers at some of the world’s largest life science companies use Domino to:

  • Easily meet compliance with rules and regulations
  • Enhance productivity via standardization and automation, accelerating time to submission
  • Improve real-time data access, facilitating fast and high-quality decision-making
  • Allow easy access and review by regulatory agency
  • Reduce learning curve due to flexible tools and languages while enhancing collaboration
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Gantt

PIPELINE ORCHESTRATION

Visualize and automate multi-step computations

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

COMPLETE USER FLEXIBILITY

Full breadth of data, tools, and multilingual infrastructure

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

COLLABORATION AND KNOWLEDGE SHARING

Unite teams, tools, and data

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
  • Onboard new users faster, attract and retain talent, and upskill teams more effectively
Domino governance

DOMINO GOVERNANCE

SCE governance that is smart, actionable, and automated

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.
Accuracy, Traceability, Reproducibility icon

Embedded GxP Compliance

Accuracy, traceability, and reproducibility

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

CASE STUDY

Testing thousands of hypotheses with an FDA-qualified research platform

A global biopharmaceutical leader has implemented an FDA-qualified system of record on the Domino platform to streamline its entire research and development pipeline — from drug discovery to laboratory automation to customer analytics — ultimately paving the way toward faster medical advances.

video

Embracing flexibility and innovation to modernize clinical trial analytics and reporting

Join Eileen Ching and Saurin Mehta from GSK as they review GSK's journey implementing a modern Statistical Computing Environment (SCE) using Domino Data Lab. They discuss the challenges of managing legacy systems, the decision to adopt Domino, and the user experience considerations throughout the process.