SAS (Statistical Analysis System) is a software suite used for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. It is widely known for its capabilities in data processing and data visualization, making it a valuable tool for businesses looking to extract insights from their data. With a user-friendly interface and a broad range of analytical tools, SAS empowers users to make informed decisions based on data-driven insights.
SAS falls under the category of Business Intelligence software, which focuses on transforming raw data into meaningful and useful information for business analysis purposes. This software category enables organizations to gather, store, analyze, and visualize data to gain insights that can drive strategic decision-making. SAS, in particular, provides a comprehensive suite of BI tools that cater to various analytical needs across industries, helping businesses optimize their operations and enhance performance.
Founded in 1976 by Anthony James Barr, James Goodnight, John Sall, and Jane Helwig, SAS was initially motivated by the need for a reliable software system for statistical analysis. Over the years, SAS has evolved into a leading player in the analytics and business intelligence space, serving a diverse range of industries including finance, healthcare, marketing, and government sectors. With a focus on innovation and customer-centric solutions, SAS has built a strong reputation for its robust analytics platform.
In terms of current market share, SAS maintains a significant presence in the Business Intelligence software market. While facing increased competition from emerging analytics tools, SAS continues to be a preferred choice for organizations requiring advanced analytics capabilities and industry-specific solutions. With a steady growth trajectory and a commitment to ongoing innovation, SAS is poised to maintain its market share and potentially expand into new market segments in the future.
