SCE_Datasheet_23.09.24

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Statistical Computing Environment (SCE)

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/

www.maxisit.com connect@maxisit.com

510 Thornall Street, Suite 180, Edison, NJ 08837

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SCE_Datasheet_23.09.24 by animarg1990 - Issuu