Accelerate Your Clinical Research with Powerful Statistical Programming
Why Choose SCE?
Reduce risk of missteps by bringing data into the centralized, cloud-based Statistical Computing Environment (SCE). With advanced data analytics, real-time collaboration, and support for most programming languages, SCE brings power and precision to your clinical research.

Benefits

Generate a complete study documentation package.
Improve quality and reduce errors with active data and metadata management.
Improve stakeholder collaboration with custom notifications and process management..
Generate project/study performance metrics based on passively collected data and metadata.
Allow system access and deposit new data, programs, and documents in a secure manner
Manage versioning and change management through an integrated repository.
Develop submission-ready reports and exploratory analysis using SAS, R, and Python.
Key features Statistical Computing Environment (SCE)
Open Environment
Integrates with SAS, R, and Python applications.
Integrated Data Repository
Vendor-agnostic data storage for efficient data access a nd storage. CDISC standards built in for expert metadata, structured data, and unstructured data management.tt
Scalable and Nimble
Cloud-based architecture scales with you and to manage even the largest, most diverse datasets. .
Intuitive User Interface
Modular design enables efficient use of libraries and automation. Streamline workflows, standardize templates, and reuse code with the help of automation: API-driven, AI-enabled modular approach for timely clinical data and data quality managements.
Web-based Programming and Review
SCE is a 21CFR11 and GxP-compliant environment for clinical statistical computing with full traceability, transparency, and auditability.
Rapid web-based statistical programming and development for faster review.

Statistical Computing Environment (SCE)
About MaxisIT
MaxisIT’s purpose-fit and intelligent clinical data analytics platform helps improve clinical trial performance, mitigate risk, and optimize clinical outcomes. We provide a centralized and reliable source of truth for diverse data types from various sources, giving life sciences companies real-time insight to shorten cycle time and increase return on investment. Incorporating an end-to-end clinical data pipeline from intake t o visualization, MaxisIT's solutions are powered by AI/ML and metadata-centric approaches. Our impressive portfolio of over 3,300 clinical trials and an unparalleled 100% customer retention rate affirm the quality and reliability of our services.
MaxisIT’s SCE allowed us centralize the data in a secure, cloud-based hub and enhance our collaboration. The integration with SAS, R, and Python empowered our team to create submission-ready reports, while metadata management significantly improved the quality and precision of our analyses.
https://maxisit.com/
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510 Thornall Street, Suite 180, Edison, NJ 08837


