SAS
About SAS
SAS provides a comprehensive machine learning and deep learning platform, enabling teams to collaborate efficiently. Its innovative automated modeling API simplifies complex analytical tasks. By integrating data management, model development, and deployment, SAS empowers users with actionable insights, enhancing productivity and trust in results.
SAS offers flexible pricing tiers based on user needs, giving access to essential features at various levels. Each tier presents differing values, including advanced support and additional functionalities. Upgrading unlocks enhanced capabilities, thus providing more substantial benefits and optimal performance for users within the SAS ecosystem.
SAS offers a user-friendly interface facilitating a seamless browsing experience. Its layout integrates powerful analytics tools, ensuring easy navigation between features. By prioritizing a cohesive user experience, SAS effectively meets the needs of both novice and experienced users, empowering them to leverage advanced analytics effortlessly.
How SAS works
Users begin by onboarding with SAS, exploring its intuitive design for easy access to features. From data management to model development, they can prepare data, build models, and deploy results seamlessly. The automated modeling API enhances efficiency, enabling users to generate insights rapidly and collaboratively within the secure environment of SAS.
Key Features for SAS
Automated Modeling API
The Automated Modeling API in SAS streamlines complex analytical processes, allowing users to focus on deriving insights. This unique feature enables efficient model development and deployment, reducing time-to-insight while enhancing productivity, making SAS an essential tool for data scientists and analysts alike.
Natural Language Generation
SAS harnesses Natural Language Generation to produce user-friendly reports and summaries. This feature simplifies data interpretation, enabling users to understand complex findings effortlessly. By bridging the gap between data science and business language, SAS enhances collaboration among diverse teams and improves decision-making processes.
Deep Learning with Python
SAS's support for Deep Learning with Python facilitates high-level API access within popular coding environments like Jupyter notebooks. Users can seamlessly integrate advanced analytics, utilizing models across frameworks, streamlining the deep learning process, and enhancing overall productivity for analytics teams.
