High-Performance Analytics from SAS

High-performance analytics enable organizations to quickly and confidently seize new opportunities in order to make better choices ahead of competitors and create new value from big data. It enables organizations to handle their most difficult challenges, quickly generate high-impact insights and transform their operations. With high-performance analytics from SAS, you can:

• Get the timely insights needed to make decisions in an ever-shrinking window of opportunity. Gain insights that once took days or weeks in just minutes or seconds to speed up innovation.
• Discover precise answers for complex problems. Seize opportunities for growth that otherwise would remain unrecognized, and achieve better performance.
• Optimally use and manage IT infrastructure resources, while providing superior performance and reliability. With high-performance analytics from SAS, IT can help leverage big data and accommodate future growth.

Components of High-Performance Analytics from SAS

• Grid Computing – Leverage a centrally managed grid infrastructure to achieve dynamic workload balancing, high availability and parallel processing for data management, analytics and reporting.
• In-Database Analytics – Natively execute relevant SAS software functions inside databases to improve data governance and reduce the time needed to build, deploy and update analytical models.
• In-Memory Analytics – Solve complex problems using big data and sophisticated analytics in a distributed, in-memory environment to make better decisions within tight time frames.

How SAS^® Is Different

• Find answers to your most complex problems faster than ever before. SAS offers an integrated set of high-performance-enabled information management, analytics and business intelligence capabilities to ensure customer success. This extends SAS' leadership in the business analytics software market segment.
• Transform your big data assets into true business value. SAS leads the way in empowering organizations to transform their structured and unstructured assets into business value using big data analytics with multiple deployment options. SAS offers flexible architecture approaches that can address new business requirements and remove analytics constraints.
• Solve your specific business problems with targeted, high-performance analytic applications.  SAS continues to solve some of the most complex domain and vertical-specific business issues in the world. Every level of SAS software, including targeted business solutions, leverages high-performance analytics components to address needs posed by big data and complex problems.
• Not all in-memory approaches are created equal! SAS In-Memory Analytics capabilities are purpose-built with analytical workloads in mind to solve complex business problems – it is not just about running queries, descriptive statistics and database workload in an in-memory environment.