SAS Visual Statistics


“Discover. Predict. Act decisively.”

Find the value in your data, no matter the size. Multiple users can explore and visualize data, then interactively create and refine descriptive and predictive models. Distributed, in-memory processing slashes model development time so you can run complex analytic computations – and get precise results – in minutes.

Stay agile with in-memory computing.

An in-memory engine performs complex analytic computations fast. Modelers can test new ideas quickly, compare different modeling techniques and refine models on the fly to get the best results – using data volumes never before possible.

Run more models faster. With precision.

Our multicore processing environment reduces model run times to minutes. You can build models to target specific groups or segments, and run numerous scenarios simultaneously. Ask more what-if questions, and get fast answers. Refined models produce better results.

Beat the competition with savvy insights.

Quickly surface insights hidden in vast data stores. Uncover opportunities your competitors miss. Find new ways to grow revenue. Powerful, predictive analytics and visual data discovery let business analysts and statisticians do more with data than ever before.

Boost your analytical productivity.

Multiple users can customize models quickly – and interactively. Add or change variables, remove outliers, etc., and instantly see the effect on model outcomes. Now it’s easy to find out which model provides the most predictive power – and get more value from your big data analytics.


Features

  • Interactive data exploration and modeling environment.
  • Descriptive modeling.
  • Predictive modeling.
  • Dynamic group-by processing.
  • In-memory analytical processing.
  • Model comparison and assessment.
  • Model scoring.
  • Data visualization and reporting via SAS Visual Analytics.
  • Platform support. Supports Hadoop distributed file system (Cloudera or Hortonworks distributions), as well as Teradata, Greenplum (Pivotal), SAP HANA and Oracle databases.

Benefits

  • Gain new insights and identify areas of opportunity before your competitors do. Quickly surface insights hidden in vast stores of data. Discover, analyze and evaluate new opportunities. Find new ways to grow revenue. Powerful, predictive analytics with visual data exploration capabilities enable business analysts and statisticians do more with data than ever before.
  • Run more models faster for more precision. How long does it take to run your models? Hours? Our multicore processing environment reduces that to minutes. Build models to target specific groups or segments, and run numerous multiple scenarios simultaneously. Analytical professionals can ask more what-if questions and get fast answers. Refined models produce better results.
  • Stay agile with in-memory computing. SAS Visual Statistics performs complex analytic computations using an in-memory engine. Modelers can quickly test new ideas, try different sophisticated modeling techniques and refine models on the fly – all using data volumes never before possible.
  • Improve the productivity of your analytical teams. Multiple users can quickly and interactively customize their models – adding or changing variables, removing outliers, etc. – and instantaneously see how those changes affect model outcomes. Which model provides the most predictive power? It’s now easy to find out. Organizations realize more value from their big data analytics.