About this organization
Organization Name: SAS Institute Inc.
Organization Solution and Services
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Digitalization & Analytics
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Cloud & Enterprise Software
- Software Solutions
Organization Types:
- Organization Size: Revenue over 100M
- Organization Years In business: 10+ Years
Revenue: $3.2 Billion
Organization Information : Founded in 1976 in Cary, North Carolina, SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. SAS provides a barrier-free workplace and embraces all qualified applicants with varied perspectives and backgrounds. If you’re a US applicant with a qualified disability or a disabled veteran, you can request a reasonable accommodation. It all started with curious minds. Is there a better way to analyze data? How can we turn data into intelligence? Who will benefit from using our technology? With a passion for analytics, our founders saw lines of code as the key to something extraordinary. Fast forward more than four decades later, and SAS has thousands of employees and customers in locations worldwide, analyzing billions of rows of data every second that are changing how we live.
Other Information: Founded in 1976 in Cary, North Carolina, SAS Institute Inc. is a leading private software company specializing in advanced analytics, artificial intelligence (AI), and data management solutions. Its flagship platform, SAS Viya, is a cloud-native, AI-driven suite that enables organizations to analyze and visualize data for informed decision-making. SAS also offers JMP, a statistical analysis tool designed for dynamic data exploration. Serving industries such as finance, healthcare, and retail, SAS provides solutions for fraud detection, risk management, and customer intelligence. With over 10,000 employees worldwide, SAS continues to innovate, integrating machine learning and generative AI into its offerings to address complex data challenges across various sectors.