SCE - Statistical Computing Environment
Manage tasks, track work, & enforce process for programmers
Sycamore Statistical Computing Environment (Sycamore SCE), usually bundled with the Sycamore CDR, is the highest ranked SCE application with the most number of successful proven production deployments and with several thousand active global users. Sycamore SCE employs version control, audit trails, traceable analysis execution, dependency management, impact analysis, role-based security, workflow and tasks to create an environment for clinical reporting and analysis.
Sycamore SCE can work with different programming languages such as R, Python, the SAS language, Julia and multiple ML/AI algorithms. Sycamore SCE is agnostic to programming editors and can work with multiple web based and desktop editors such as Posit (RStudio), UltraEdit, Notepad++, VS Code, PyCharm and SAS language editors including using command line.
Unique Benefits:
Coordinate tasks, track work and enforce processes within the system
Maintain traceability and lineage across programs, data and outputs with version control
Program in-app or from MS Windows desktop with versioning, DIFF tools, & role-based permissions
Easily define and manage role-based access, blinding, sequestering, and partner access
Reliably audit access, changes and usage across all functions
