SAS

About SAS

SAS is a comprehensive analytics platform focused on machine learning and deep learning. Targeting data scientists and analysts, it streamlines the analytics lifecycle with a collaborative environment. Its unique automated modeling API accelerates complex problem-solving, allowing organizations to derive insights from diverse data types efficiently.

SAS offers flexible pricing plans tailored to different user needs, featuring a free trial for first-time users. Subscription tiers provide additional benefits, such as enhanced modeling capabilities and collaborative tools, ensuring users can maximize their analytical investment with SAS's powerful solutions.

The user interface of SAS is designed for ease of use, featuring a clean layout that facilitates navigation through its extensive analytics tools. Unique self-service data preparation and automated insights features provide users with a seamless experience, empowering them to uncover insights quickly and effectively.

How SAS works

Users interact with SAS by signing up for an account and accessing the platform through a web interface. Once onboard, users prepare data, perform exploratory analysis, build and compare machine learning models, and deploy results with just a few clicks, utilizing automated features that streamline analytics processes.

Key Features for SAS

Automated Modeling API

The Automated Modeling API of SAS simplifies and accelerates the analytics process, allowing users to efficiently generate machine learning models. This unique feature significantly reduces the time needed for model deployment while enhancing collaboration among data teams, leading to faster insights and improved decision-making.

Natural Language Generation

SAS integrates Natural Language Generation to produce interpretable project summaries, making analytics accessible to users without a technical background. This feature ensures clear communication of insights and results, streamlining collaboration and enhancing the overall analytical experience, particularly for business analysts.

Integrated Machine Learning Programs

SAS's integrated machine learning programs combine unstructured and structured data to enhance analytical insights. This unique feature enables users to explore diverse data types, facilitating the discovery of valuable trends and patterns across various datasets, thus improving overall data utility and analytical accuracy.