The SAS® Platform

Achieve excellence in analytics with a platform that supports diversity, enables scale and promotes trust.


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What is an analytics platform?

An analytics platform is a software foundation that's engineered to generate insights from your data in any computing environment. Built on a strategy of using analytical insights to drive business actions, this platform supports every phase of the analytics life cycle – from data, to discovery, to deployment.

Advantages of the SAS® Platform



  • Makes analytics accessible to anyone seeking insights from data – regardless of skill or experience â€“ via a rich interface.
  • Easily tackles both modern and legacy data types so you can unify the data you need to generate successful actions from analytics.
  • Handles analytical problems of any size or complexity with an extensive suite of proven methods.
  • Executes in a cloud, on-site or hybrid environment. Deploys seamlessly to any infrastructure or application ecosystem.
  • Adapts to the full spectrum of analytics and data challenges you face, and embraces open source technology with interfaces to consistent, governed code.
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  • Scales from small to exceedingly big data, in motion and at rest, at the edge and in the cloud.
  • Provides processing power optimized for analytic workloads that is easily transferable and right-sized for both physical and virtual hardware environments.
  • Industrializes analytics for thousands of concurrent models and simultaneous users. Gives you fast, traceable results with centralized monitoring and governance.
  • Ensures continual insights with IT-controlled, enterprise-class analytics fortified with failover protection, infrastructure pooling and high availability.
  • Delivers answers from complex analytics fast, taking advantage of parallel, in-memory and distributed computing environments, and a common, governed code base.


  • Integrates the entire analytics life cycle – from data, to discovery, to deployment. Delivers a traceable results path from start to finish, visible to any audit. 
  • Ensures resilience to infrastructure changes with portable code, along with built-in intelligent defaults and automated analytics tasks. 
  • Builds on the experience and expertise of more than four decades of deployments in virtually every industry, applying analytics to myriad business issues.        
  • Verifies the accuracy and validity of analytical results with a rigorous testing framework and proven domain practices.
  • Includes security features to help guard against potential areas of vulnerability with options for passwords, data and users.
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Who benefits from the SAS® Platform?

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Business Management

  • Operate from trusted results that are vetted and consistent.
  • Meet changing business demands with a strategic investment that addresses any analytical challenge.
  • Foster an environment of innovation and value with analytics designed for easy deployment.
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IT Management

  • Confidently manage your analytics assets – and quickly incorporate new data sources, systems and environments – using a preconfigured suite of tools.
  • Centralize control to easily extend, monitor and refine analytics applications for rapid distribution.
  • Adopt a new infrastructure and business processes with transportable analytics assets that work alongside well-established practices and existing skill sets.
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Why choose SAS?

Scalable software based on 40-plus years of addressing the diverse needs of enterprise analytics. Trusted by the world's top organizations to produce results that make a difference. Industry-recognized leadership in advanced analytics. Innovation driven by customer needs. Continuous platform enhancements that protect investments in analytics. Market-leading analytical methods that deliver superior performance and value.

Experience the power and possibilities of the SAS® Platform with a free software trial.

Recommended Resources

Find out how the SAS Platform is different from all the rest.

Discover what it takes to be data driven in this TDWI Best Practices Paper. 

Learn why it's important to keep an open mind about open analytics.

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