SAS
About SAS
SAS is an advanced platform designed for machine learning and deep learning, catering to data scientists and business analysts alike. It features a collaborative, integrated environment that automates model development, enabling users to quickly derive insights from complex data. SAS transforms analytical processes, making them accessible and efficient.
SAS offers flexible pricing plans tailored to various user needs, ensuring value at every level. From standard access to premium features, each subscription tier provides essential tools for comprehensive analytical processes. Upgrading enhances access to advanced features and additional support, maximizing the benefits for users tackling intricate data challenges.
SAS provides a user-friendly interface that simplifies the analytics experience. Its intuitive layout prompts a seamless interaction with machine learning and data visualization tools. With easy navigation and powerful functionalities, SAS ensures that users can efficiently manage data workflows while quickly accessing insights and model deployment options.
How SAS works
Users interact with SAS by first creating an account and accessing the platform's web app. After onboarding, they can navigate its intuitive interface to import and prepare their data. The integrated tools facilitate model development, deployment, and exploration of various machine learning techniques, ultimately streamlining the analytics lifecycle and enhancing collaborative efforts.
Key Features for SAS
Automated Modeling API
SAS's Automated Modeling API is a standout feature that accelerates the analytics process. Users leverage this functionality to generate machine learning models quickly, enhancing productivity and enabling rapid deployment. This feature ensures that analysts can focus on deriving valuable insights rather than spending time on manual modeling tasks.
Integrated Data Management
The integrated data management feature of SAS simplifies data access, preparation, and cleansing. This capability allows users to work efficiently within a collaborative environment. By supporting self-service data preparation, SAS empowers users to manage complex datasets with ease, paving the way for more insightful analytics and decision-making.
Natural Language Generation
SAS incorporates Natural Language Generation (NLG) to enhance model interpretability. This feature automatically translates complex analytical results into easy-to-understand language. By presenting insights simply, SAS ensures that all stakeholders, regardless of technical expertise, can grasp and act upon the findings effectively, improving communication across teams.
