SAS Life Science Analytics Framework
The SAS Life Science Analytics Framework offers a cloud-native environment tailored for clinical research. It seamlessly integrates analytic tools and data management capabilities, enabling teams to collaborate effectively across various roles. This platform streamlines processes, supports regulatory compliance, and enhances data analysis, significantly accelerating the delivery of new therapies to market.
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Top SAS Life Science Analytics Framework Features
- cloud-native statistical computing environment
- support for data standards
- embedded analytic tools
- integrated analytic applications
- collaborative platform for analysis
- automated data quality analysis
- end-to-end clinical data management
- process orchestration capabilities
- flexible programming in SAS/R/Python
- centralized shared workspace
- extensive regulatory compliance features
- task assignment and tracking
- impact analysis for job activities
- streamlined trial results delivery
- support for hybrid trial models
- automated workflows for efficiency
- real-time data access from EDC systems
- comprehensive study metadata management
- improved data discoverability
- model-driven approach for governance
