Flexible

• Cloud-enabled, and built to take advantage of different cloud providers' elastic processes. Meets your needs now, and adapts to changing demands.
• Can be deployed in a private or public cloud, or on your own hardware.
  

Scalable

• Fits problems of any size. Accommodates growing data volumes, more and varied users, and bulk processing times with a burst processing platform that conforms to analytic demands.
• Provides one consistent code base. No need to redefine, recode or reconfigure if your cloud provider, data volume or speed requirements change.
  

Adjustable

• Fits any investment need. Choose from capability and consumption-based options for individual analytics services, a complete enterprise subscription, or anywhere in between.
  
• Adds additional computing memory as needed to meet even the most rigorous analytic workload processing demands. Automatically utilizes disk space in constrained memory environments so jobs don't fail.
  

Built for Growth

• Gets you ready for anything with rapid, automated deployment, managed updates and independent microservices. Made for cloud and operating system deployments.
• Puts analytics in everyone's reach with self-service access to advanced analytics and data management from a rich set of easy-to-use, familiar interfaces and coding environments.
  

Centralized

• Consolidates analytic workload processing and management of the entire analytical life cycle – from data management through results monitoring – for SAS and other analytic assets.
• Solves increasingly common issues related to isolated analytic silos, deployment lag times and inferior analytic results.

Transparent

• Provides an open platform that enables business agility and ensures data and analytic process tracing throughout the analytical life cycle.
  
• Safeguards your analytic assets from analytical talent attrition by incorporating SAS and other programming languages into a single, underlying code base.
  

Integrated

• Lowers your total cost of ownership by integrating the administration, development, management and execution of all analytic processes – for any data, application or use case.
• Saves valuable time by eliminating the need to stitch together unrelated components.

Governed

• Assures enterprise governance with complete versioning, authorship and change management control from one central administration.
• Optimizes hardware use, and secures your analytic assets – conforming to organizational standards for reliance and user access.

Comprehensive

• Provides innovative algorithms and proven analytics methods for exploring experimental questions and solving real-world problems.
• Puts powerful techniques (machine learning, descriptive statistics, forecasting methods, optimization algorithms, etc.) at your disposal from a variety of interfaces – programming, scripting, visualization, etc.

Innovative

• Delivers cutting-edge methods that automate model comparison, reduce your coding burden and create organizational intellectual property. You can develop once, deploy anywhere.
• Fosters collaboration during discovery and model building. Multiple users can analyze data how and when they want, and share results interactively.
  

Fast

• Automatically distributes data and analytical workloads across the cores of a single server or the nodes of a massive computing cluster, taking advantage of parallel processing for blazingly fast speed.
• Delivers breakthrough performance, enabling you to measure processing time in seconds or minutes, not hours. In-memory data persistence eliminates the need to load data multiple times during iterative analysis.
  

Empowering

• Puts illuminating insights in everyone's reach with self-service access to advanced analytics from a rich set of easy-to-use, familiar interfaces.
• Enables all users to solve a range of analytic challenges, regardless of analytic skills or experience. 

Transcendent

• Opens the breadth and depth of SAS to your entire organization, with support for coding in SAS and other languages like Python, Java and Lua, as well as interfaces to the same, common analytical methods.
• Removes the barriers associated with data volume and variety, different coding languages, processing bottlenecks and problem complexity.

Accessible

• Provides self-service access to comprehensive analytics for any data of any size, in one managed and monitored platform.
• Allows analytical teams to work in their language of choice, unites all analytical assets within a common platform, and provides a single, managed analytical asset inventory across the organization.

Limitless

• Gives you access to powerful SAS Analytics – through an interactive workflow or programmatically – in your preferred language, via a web browser.
  
• Lets you easily include SAS Analytics in your applications using public REST APIs.

Expansive

• Gives your data science experts the power of choice, with native interfaces for programmatic actions written in SAS or other languages – like Python, Java and Lua – all calling the same, reliable analytic methods.
• Boosts productivity and helps secure your investment decisions with REST APIs, native interfaces to common analytic coding languages, and a standardized code base.