A single, interactive programming environment for analytics.

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Data access

Uses native connectivity within SAS Business Analytics to connect to ODBC- and JDBC-compliant sources, as well as other data sources, with speed and reliability.

Self-service data preparation

Provides an interactive, self-service environment for users who need to access, blend, shape and cleanse data to prepare it for reporting or analytics.

Visual data exploration & insights development

Creates an integrated environment for governed discovery and exploration that accommodates users of all skill levels.  

Approachable analytics

Offers a wide range of self-service capabilities that require no coding, including correlations, forecasting, scenario analysis, decision trees, text analysis and automated goal seeking.

Flexible deployment options

Fits your current and future IT infrastructure by offering deployment options – on-site or in the cloud – to meet your organization's evolving needs.


Provides a distributed, in-memory environment that effortlessly scales to support new demands as data volumes, user bases and analytic complexity increase.

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See the big picture and underlying connections.

Regardless of your skill level, SAS Business Analytics enables you to quickly and easily access data from any source using native connectivity. Interactive data discovery tools let you visually explore all relevant data to uncover opportunities and trends. And automated analysis highlights key data relationships with easy-to-understand explanations.

Discover and understand patterns, trends and relationships in data.

Not a data scientist? No matter. You don't need advanced analytical skills to discover and understand patterns, trends and relationships in your data. A single, easy-to-use interface lets you query data from multiple sources, then create and share interactive reports and dashboards via different channels – including smartphones and tablets. Recipients can dynamically slice and dice the data to find answers or ask more questions.

Boost productivity with self-service data preparation.

Access, blend, shape, cleanse and prepare data without the need for specialized skills or coding. An interactive, self-service environment lets you easily access and integrate a wide range of data sources for reporting or analysis. All tasks are automatically integrated with downstream analytics and reporting tasks, enabling governed discovery and exploration, with built-in traceability and data lineage capabilities.

Drive business results with data-backed insights.

Easy-to-use predictive analytics and smart algorithms enable business users and analysts to assess possible outcomes, collaborate on what's most relevant, and make better, data-driven decisions without programming. Approachable analytics puts correlation, forecasting, scenario analysis, decision trees and text analysis at your fingertips. Users of all skill levels can visually explore data, use automated analysis and create visualizations while tapping into powerful in-memory technologies for faster computations and discoveries.  

Collaborate and share insights.

Integration with Microsoft Office encourages collaboration and sharing using live, dynamic visualizations delivered through familiar Microsoft applications or mobile devices. Combine exploration, reporting and presentation to tell your story using Excel and PowerPoint. Collaborate by sharing dynamic reports with others through Outlook. And document your discovery in Microsoft Word using the same dynamically updated reports.

Because we’re more aware of which customer groups drive value, we can fine-tune our customer treatment strategies, as well as our acquisition efforts, to generate very high returns. Seacoast Bank Jeff Lee Chief Marketing Officer Seacoast Bank


This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster, with flexible licensing and pricing options to accommodate your current and future needs.

Explore More on SAS® In-Memory Statistics and Beyond



Find out how SAS Business Analytics data puts data exploration, analytics and reporting in the hands of more people.


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Learn about some of the basic issues concerning data visualization and get valuable suggestions for addressing them.


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Discover how using SAS Visual Analytics with Microsoft Office can improve your information sharing and decision making.


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SAS® In-Memory Statistics

A single, interactive programming environment for analytics.

Yes, you can get prompt insights out of big data. With in-memory analytics and interactive, analytical data preparation, exploration, modeling and deployment, you can get precise answers instantly.


Delve deeply into big data for fast, accurate insights.

Proven, state-of-the-art statistical algorithms and machine-learning techniques deliver precise answers quickly. Use multiple analytic approaches to explore big data. And unearth insights for making high-impact decisions.

Give your data scientists a productivity boost.

A fast, in-memory analytical programming language allows multiple users to analyze big data simultaneously and interactively. Data scientists can prepare, manipulate, transform, explore, model, access and score data – from a single environment.

Take advantage of a scalable environment.

Accessing, preparing, modeling and scoring data has typically meant piecing together different programming languages or products. And such piecemeal solutions simply can't scale. But no more. From data preparation and exploration to model building and deployment, our solution is tested and proven – and scales to fit your production environment.

Stop multiple, unnecessary passes through the data.

Our in-memory infrastructure eliminates costly data movement and persists data in memory for the entire analytic session. This significantly reduces data latency and provides rapid analysis at lightning-fast speeds.

Cloudera Chief Technologist Eli Collins talks about the SAS solution for data scientists. And the benefits the SAS partnership brings to Hadoop ecosystems.

Demos & Screenshots


  • Interactive programming. Multiple users can analyze large amounts of data concurrently by interactively submitting SAS code through SAS Studio, a web browser interface.
  • In-memory analytical processing. Fast analytic computations are optimized for a distributed, multithreaded and scalable in-memory environment for high-value, real-time decision making.
  • In-memory data persistence. Data is held in memory to boost speed and reduce latency.
  • Analytical data preparation. Includes capabilities for accessing and manipulating data, transforming and creating variables, and performing exploratory analysis.
  • Model development. Enables fast creation, evaluation and comparison of multiple statistical models.
  • Statistical algorithms and machine-learning techniques. A huge breadth and depth of analytical techniques can uncover patterns and trends faster than ever before.
  • Text analytics. A wide range of text analysis techniques lets you analyze unstructured – as well as structured – data.
  • Recommendation system. Personalized, meaningful recommendations are generated in real time with a high level of customization.

    Technical Information

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