SAS Analytics is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics. It enables users to analyze large volumes of data, generate insights, and make data-driven decisions through statistical analysis, machine learning, and other analytical techniques.
Top 5*
Analytics
About Sas Analytics
SAS Analytics was created in 1976 by Anthony James Barr at North Carolina State University to analyze agricultural data. It evolved over the years to address broader data analytics needs, eventually becoming a comprehensive suite for advanced analytics, business intelligence, and data management.
Strengths of SAS Analytics include robust data handling capabilities, extensive statistical functions, and strong support for enterprise environments. Weaknesses involve high costs and a steep learning curve. Competitors include IBM SPSS, R, Python, Tableau, and Microsoft Power BI.
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How to hire a Sas Analytics expert
A SAS Analytics expert must have skills in SAS programming, data manipulation using PROC SQL, statistical analysis with PROC procedures, and experience with SAS Enterprise Guide. Proficiency in data visualization using SAS Visual Analytics and knowledge of SAS Macros for automation are also essential.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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