Domino’s statistical computing environment unifies SAS, R, and other modern tools so teams deliver analyses faster with full traceability. Programmers use their preferred IDEs, and every step is captured for audit-ready documentation in a 21 CFR Part 11‑compliant environment that supports submissions.
Share templates, code, and processes in one SCE so results are consistent and reproducible.
Automatic versioning and lineage replace spreadsheets and email threads, shortening review cycles.
UNIFIED WORKSPACE
Domino SCE brings languages together in one space for analysis, review, and submission. Programmers work in their preferred IDEs, eliminating retraining and disruption caused by forced tool changes. Shared templates and standards keep outputs consistent across studies.
WORKFLOW AUTOMATION
Domino Flows define and run multi-step analyses that link data, code, and outputs in one place. Dependencies, schedules, and progress are automatically tracked so studies move from development to submission without manual coordination.
Run anywhere — cloud, hybrid, or on-premises. Programmers keep preferred tools while IT controls access and performance.
Built-in traceability
Every dataset, program, and output is automatically versioned and linked. Domino records who ran what, when, and with which inputs, creating a single source of truth with audit-ready documentation — no reconstruction required.
Embedded quality control
Domino SCE QC embeds automated quality control directly into the statistical computing environment. Programmers can create, assign, and approve deliverables right where coding happens. Every dataset and output is automatically linked, versioned, and review-ready without any trackers or emails.
Flexible deployment
Domino runs securely in cloud, hybrid, or on-premises environments with consistent performance. APIs and connectors integrate with data sources, metadata repositories, and submission systems so your SCE adapts as tools and teams evolve.
Novartis unified exploratory and regulated work to balance flexibility with GxP rigor in one SCE.
