Statistical Computing Environment

The Statistical Computing Environment (SCE) within the elluminate Clinical Data Cloud® serves as a centralized hub for managing all data, metadata, programs, and results. It enhances the efficiency, traceability, and visibility of statistical analyses through intelligent workflow automation and AI-powered data review.

Programmers and statisticians can develop and maintain scripts using popular programming languages such as SAS, R, and Python, executing them directly within the platform. This integrated approach leverages data, standards, and mappings to maximize reuse and improve programming and analysis efficiencies.

Key Features

• Access to all data and metadata across the system.
• An integrated code editor for version control, collaborative editing, and full software development lifecycle tracking.
• A Global Library of reusable code snippets, macros, and functions.

Streamlined Execution

Users can view metadata about programs, including location, version history, execution history, and data dependencies. Unified version tracking allows for the reproduction of results by tracking code, data, metadata, and execution environments.

Automated Workflows

• Programs can be scheduled to execute automatically upon data updates or completion of other tasks.
• Configurable templates allow for auto-creation of programs.
• Data flow visualization from source to output, including processes from other elluminate modules.

The SCE supports task-based workflows, directing users to their assigned tasks and showing how their efforts contribute to critical study deliverables. Role-based permissions enable seamless transitions between different functions without the need to log out and back in.

Overall, the SCE provides a robust environment for documenting rigor in clinical trial analysis and reporting, enhancing the value of a platform approach by maximizing reuse and increasing efficiencies in programming and analysis.