For the 9th consecutive year

SAS is a Leader in the 2015 Gartner Magic Quadrant

Gartner recognizes SAS as a Leader positioned furthest right on the completeness of vision axis in the Magic Quadrant for BI and Analytics Platforms.*

2015 Gartner Magic Quadrant for BI and Analytics Platforms

Our focus on vision is recognized

Which BI and analytics providers are delivering, and which ones are not? This year’s Gartner Magic Quadrant for BI & Analytics Platforms report provides their perspective on the growing demands of this shifting market, backed by the validation of 2,083 BI platform users weighing in on vendor strengths and challenges.

If you're preparing to upgrade or invest in data discovery capabilities, check out SAS’ position among other BI and analytics solution providers. The report’s focus on visualization, reporting and analytics that are descriptive and diagnostic in nature also includes an evaluation of SAS Visual Analytics, which we believe continues to build momentum as a key differentiator from our competitors.

SAS’ large and growing portfolio of applications combines powerful analytics with industry-specific expertise – to meet the needs of financial organizations, government agencies, defense and security, retailers, high-tech manufacturers, energy companies, hospitals, pharmaceuticals and telecommunications providers, to name a few.

“To have enterprises deploy our software in a spectrum of applications around the globe is the best validation of SAS,” said CMO Jim Davis. “Customers use SAS to meet both enterprise IT needs and business requirements for self-service data exploration.”


… the ability to bridge decentralized business user-led analytics deployments with those centralized to serve the enterprise will be a crucial ongoing challenge for IT and BI vendors. With the added complexities introduced by new data sources (such as the cloud, real-time streaming events and sensors, and multistructured data) and new types of analysis (such as link/network and sentiment analysis, and new algorithms for machine learning), new challenges and opportunities will emerge to integrate, govern and leverage these new sources to build business value.


*This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from SAS. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

**Gartner Magic Quadrant for BI and Analytics Platforms by Rita L. Sallam, Bill Hostmann, Kurt Schlegel, Joao Tapadinhas, Josh Parenteau, Thomas W. Oestreich, 23 February 2015.

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