Connecting via API with with SAS enables organizations to automate their enterprise analytics operations through an industry-leading statistical analysis platform. This powerful connection allows businesses to streamline their analytical workflows while maintaining advanced statistical capabilities, all through a robust API that supports comprehensive analytics automation.
How do I connect via API?
- Connect to the SAS API through Parabola by navigating to the API page and selecting SAS
- Authenticate using your SAS credentials and configure necessary security settings
- Select the data endpoints you want to access (programs, data sets, procedures, outputs)
- Configure your flow in Parabola by adding transformation steps to process your analytics
- Set up automated triggers for program execution and result processing
What is SAS?
SAS (Statistical Analysis System) is an integrated software suite for advanced analytics, business intelligence, and data management. As a pioneer in statistical software, SAS provides enterprise-grade capabilities for complex data analysis, predictive modeling, and machine learning, making it a standard in industries requiring sophisticated analytical capabilities.
What does SAS do?
SAS provides a comprehensive analytics platform that enables organizations to perform advanced statistical analysis and data manipulation at scale. Through its API, businesses can automate sophisticated analytical workflows while maintaining computational accuracy and reproducibility. The platform excels in handling complex analytics, supporting everything from basic statistics to advanced machine learning and forecasting.
The API enables programmatic access to SAS's full feature set, including program execution, data set management, and procedure automation. Organizations can leverage this functionality to build automated analytical workflows, manage statistical processes, and coordinate complex computations while maintaining enterprise security and governance requirements.
What can I do with the API connection?
Program Automation
Through Connecting via API with with SAS, analytics teams can automate their SAS program execution. The API enables automated code running, parameter management, and output handling. This automation ensures consistent analysis while reducing manual intervention.
Data Set Management
Organizations can leverage the API to automate their data set operations. The system can handle data imports, manage transformations, and coordinate data exports. This automation helps maintain data integrity while streamlining processing workflows.
Statistical Process Control
Analysis teams can automate their statistical procedures through the API connection. The system can manage procedure execution, coordinate parameter settings, and handle result collection. This automation streamlines analytical processes while maintaining accuracy.
Output Distribution
Business teams can automate their results distribution through the API. The system can handle report formatting, manage file generation, and coordinate delivery processes. This integration ensures efficient information sharing while maintaining consistency.
Resource Management
Operations teams can automate their resource monitoring through the API. The system can track computational resources, manage server loads, and optimize process scheduling. This automation helps maintain optimal performance while reducing administrative overhead.
Through this API connection, organizations can create sophisticated statistical workflows that leverage SAS's advanced capabilities while eliminating manual operations and reducing complexity. The integration supports automated program execution, seamless data management, and comprehensive process control, enabling teams to focus on analytical insights rather than operational tasks.
