Discover. Predict. Act. Decisively.

Interactive data exploration and discovery combined with the ability to easily build and adjust huge numbers of predictive models on the fly. 

Descriptive and predictive modeling

Visually explore and evaluate segments for further analysis using k-means clustering, scatter plots and detailed summary statistics. Use machine learning techniques to build predictive models from a visual or programming interface.

Open, code-based model development

Programmatically access analytical actions from SAS Studio, call them from other languages – Python, R, Lua, Java – or use public REST APIs to add SAS Analytics to existing applications.

Dynamic group-by processing

Concurrently build models and process results for each group or segment without having to sort or index data each time.

Model comparison, assessment and scoring

Generate model comparison summaries (lift charts, ROC charts, concordance statistics, misclassification tables) on one or more models. Export models as SAS DATA step code, and apply them to new data.

Distributed, in-memory analytical processing

Uses in-memory analytical processing to provide answers to a range of business questions in a single, scalable and governed environment.

Flexible deployment options

Runs on commodity hardware, in a private or public cloud infrastructure or Cloud Foundry platform as a service (PaaS).

Multiple users can explore data, then interactively create and refine predictive models.

SAS Visual Statistics on SAS Viya showing logistic regression on desktop monitor

Uncover opportunities faster than your competitors.

Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue.

Put better models into action faster. 

Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with automatically generated score code.

SAS Visual Statistics on SAS Viya showing a decision tree on a desktop monitor
SAS Visual Statistics on SAS Viya showing clustering on desktop monitor

Boost analytical productivity.

Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly.

Gain the freedom to experiment. 

Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets – whether created using SAS or other languages like R, Python, Java or Lua – within a common solution.

SAS Visual Statistics on SAS Viya showing model comparison on desktop monitor

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