SAS Analytics is a suite of software products developed by the SAS Institute for data analysis, business intelligence, predictive analytics, and statistical analysis. SAS Analytics includes a wide range of tools and techniques that enable users to perform complex data analysis and gain insights from their data. SAS Analytics is widely used across various industries, including finance, healthcare, retail, and government. The software suite includes several modules, such as SAS Visual Analytics, SAS Enterprise Miner, and SAS Model Manager. SAS Visual Analytics is a data visualization tool that enables users to explore and analyze data visually. It allows users to create interactive reports and dashboards and provides tools for data exploration, data filtering, and data aggregation. SAS Enterprise Miner is a tool for data mining and predictive modelling. It allows users to build predictive models using various statistical techniques, such as regression analysis, decision trees, and neural networks. It also includes tools for data preparation and feature selection. SAS Model Manager is a tool for managing and deploying predictive models. It allows users to organize, version, and deploy models across their organization, and provides tools for monitoring model performance and making updates as necessary. SAS Analytics is known for its robustness, reliability, and scalability. It is capable of handling large volumes of data and is used by organizations of all sizes, from small businesses to large enterprises. The software suite is also highly customizable, with the ability to integrate with other software tools and systems. Overall, SAS Analytics is a powerful suite of tools for data analysis, business intelligence, and predictive modelling. Its versatility and reliability make it a popular choice for organizations across various industries.