SAS advanced analytics solutions, powered by artificial intelligence, help businesses uncover opportunities to find insights in unstructured data. Undisputed leadership in advanced analytics.

And mine, segment and visualize data interactively. Account for both planned and unplanned events. You can test what-if scenarios to determine the likely impact on your forecasts. A virtually unlimited model repository provides models for a wide range of behaviors. The software also provides a batch environment that gives advanced users access to an even fuller set of capabilities using the SAS programming language. An easy-to-use GUI gives you the power of SAS forecasting without having to write code. Get easy access to powerful forecasting techniques.That means less manual intervention, which reduces the chance that organizational politics or personal agendas will contaminate forecasts. Generate trustworthy forecasts – automatically. Reduce the opportunity for personal bias.And streamline your forecasting processes so you can focus efforts on the most important, high-value decisions. Generate large quantities of high-quality forecasts quickly and automatically – no need for human intervention (unless desired). Build analytical-style graphs, maps and charts with any style of output so you can deliver analytic results where they can be used the most.

Generate task-specific graphics for more effective interpretation and communication of results.

Don't settle for one style – customize.

SAS covers it all – analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, nonparametric analysis, mixed-models analysis, survey data analysis and much more. There's no need for multiple software applications. Cover diverse areas with one environment.Apply quality-tested algorithms that are constantly updated to reflect the latest statistical methodologies, so you can analyze the past, describe the present and predict the future. Whether you're analyzing customer data, crunching sales numbers, monitoring supply chain operations or trying to detect fraud, apply powerful statistical analysis to all your data to get the most accurate answers.

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