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What is Sapio Jarvis?

A groundbreaking data integration solution created for the needs of today's scientific research community. To advance toward a future fueled by data-driven discoveries, it is essential to discard outdated data practices and legacy systems that no longer meet our requirements. With the continuous influx of diverse research data, managing and analyzing this information through isolated approaches is becoming less feasible. Regrettably, many organizations still experience fragmentation, with data dispersed across various systems. Even when organizations do manage to consolidate their data, it often occurs via a separate System for Data Management and Storage (SDMS) or business intelligence platforms that fail to recognize the interconnected and holistic nature of authentic scientific analysis. Our innovative, science-awareâ„¢ data integration platform, Jarvis, is specifically designed for the complexities of contemporary scientific work, effectively bringing together and optimizing your entire scientific intelligence, which includes both instrument and application data, to maximize its value. This integrated insight is readily available to scientists through a dynamic knowledge graph that provides robust search functionalities, facilitating efficient data retrieval and fostering improved collaboration. Consequently, researchers can operate more effectively, accelerate their innovations, and contribute significantly to their respective fields, ultimately enhancing the overall impact of scientific inquiry.

What is SAS Life Science Analytics Framework?

Only SAS provides a thorough, cloud-based platform for statistical analysis in clinical research, equipped with integrated analytic tools, compliance with data standards, and optional analytic applications. This robust framework significantly boosts your ability to modernize workflows and speed up the launch of innovative therapies, which can lead to better health outcomes. Through a collaborative environment, information management and analysis become more efficient, allowing for streamlined processes and quicker delivery of trial results to regulatory authorities. It is a comprehensive solution for clinical analysis and submission, covering all essential elements for validation, regulatory compliance, version control, audit trails, and documentation support. The platform promotes automation via customizable workflows, accommodates existing and future integrations, and guarantees the application and oversight of data standards and controlled terminology. Furthermore, it includes a centralized hub for all incoming data, automates the assessment of data quality, improves data management practices, and refines analytical data for enhanced accuracy, thereby fostering more insightful outcomes. By empowering clinical researchers with these essential tools, SAS enables them to adeptly navigate the challenges posed by modern research and regulatory landscapes. This ultimately leads to more effective and timely advancements in healthcare solutions.

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Integrations Supported

Python
R

Integrations Supported

Python
R

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sapio Sciences

Date Founded

2011

Company Location

United States

Company Website

www.sapiosciences.com

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

www.sas.com/en_us/software/life-science-analytics-framework.html

Categories and Features

Categories and Features

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