SAS a leader in 2014 advanced analytics platform: Gartner Magic Quadrant
København, Danmark (03. marts 2014) – Ability to execute and completeness of vision in advanced analytics placed SAS in the Leaders quadrant of the Gartner Inc. Magic Quadrant for Advanced Analytics Platforms, published Feb. 19.
"Advanced analytics is the foundation of SAS' entire 37 years of serving enterprises," said SAS Senior Vice President and Chief Marketing Officer Jim Davis. "It's more than just data mining and descriptive and predictive analytics. We also provide optimization, forecasting, text analytics, simulation and more. We believe SAS leads the way in every category of advanced analytics."
Offering the widest range of advanced analytics to yield evidence-based answers, SAS enables enterprises to measure what matters most. SAS® advanced analytics reveals optimal and lucrative opportunities, exposes risks, deepens customer understanding, and delivers predictive insights that promote organizational success.
"Each SAS offerings align with a customer analytics maturity level, business problems, technical skills and deployment preference. The benefit of the SAS approach is that customers select only the capabilities required," Davis said, "to make their organizations more profitable, more productive and more successful."
The SAS Analytics portfolio also includes innovative, in-memory analytics to support customers requiring high-performance operation to handle big data and other complex environments. SAS continually champions new and emerging technologies with its analytics, including Hadoop's big data architecture, cloud computing deployments, improved usability and open-source R integration.
SAS advanced analytics, combined with industry- or task-specific expertise, is the foundation for many horizontal or vertical analytics applications. These include solutions for risk management, anti-fraud, customer intelligence, retail and other domain-specific offerings.
"Our customers demand more than model development from SAS software," said Davis. "Models have to be accurate, robust and easily deployed within business processes. SAS fully supports that complete analytics life cycle."
To find out how to move from value to vision with SAS Analytics, please read this informative report.
About the Magic Quadrant
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