Fact Sheet
Statistical Computing Environment
Accelerate and automate data transformation and analyses As data volume and complexity escalate, a high-performance computing environment has become a must-have to ensure transparency, reproducibility, and accurate reporting. The Statistical Computing Environment (SCE) within the elluminate® Clinical Data Cloud provides one centralized place for all data, metadata, programs, and results, increasing the efficiency, traceability, and visibility of your computing tasks- whether data processing, data transformation, or statistical analyses. With the flexibility to use SAS, R, and Python, SCE adapts to the needs of each project and includes capabilities to auto-generate code based on specifications . By leveraging data, standards, and mappings, elluminate SCE maximizes programming and analysis efficiencies through data reuse and consistency.
Key Benefits: Streamline Execution
Enable Collaboration
Enhance Efficiency
■ Comprehensive data and metadata access provides strong foundations for efficient data transformation.
■ Collaborate effortlessly across teams with shared access to programs, and real-time task and issue tracking for consistent outcomes.
■ Design workflows that align with your organization’s processes and efficiently guide users to their critical tasks.
■ Automate code generation using elluminate data, metadata, and standards like CDISC or custom standards, as well as mapping specifications, ensuring accuracy, and reducing repetitive tasks. ■ Leverage code snippets, macros and functions from a global library of reusable code to reduce duplicated efforts across teams. ■ Reproduce results through unified version tracking of code, data, metadata, and execution environment, to ensure compliance.
■ Enable use of preferred tools with support for multiple programming languages (SAS, R, Python), ensuring flexibility for all team members within a unified platform. ■ Track data transformation deliverables, manage resources, and compile submission packages efficiently, ensuring smooth project execution from beginning to end.
■ Programs can be scheduled or automatically triggered by data updates, allowing processes to run independently. ■ Auto-generate programs using configurable templates, saving time and ensuring consistency.