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SAS in Leaders Quadrant for Customer Data Mining Magic Quadrant

Evaluation based on completeness of vision and ability to execute

SAS, the leader in business intelligence, announced today that it is positioned in the Leaders quadrant in Gartner Inc.’s Customer Data Mining 2007 Magic Quadrant. [i] According to the Gartner report, “leaders are vendors whose performance excels in the customer data mining market.”

Hundreds of companies globally – including 1-800-FLOWERS.COM, American Honda Motor Co., DIRECTV, The Dow Chemical Co., First Citizens Bank, The Ford Motor Co., Hartford Life, Loyalty Management UK, Swisscom and The World Wildlife Fund – use SAS data mining tools to support CRM initiatives.

"The Dow Chemical Co. relies on SAS to provide the intelligence to help us constantly improve our products and the way we do business to create value for our customers," said Tim Rey, Senior Counselor of Statistics for The Dow Chemical Co.'s Work Process Methodology Expertise Center. "SAS business intelligence, data mining and advance analytical software provide key insights across all areas of our business including our customer loyalty efforts. SAS helps us identify linkages between customer satisfaction and earnings to better understand our customers and to enhance their overall experience with Dow."

To continually improve its products and services, SAS invested 24 percent of its revenue into research and development in 2006. In data mining, SAS continues to strengthen its capabilities and integrate them further into the SAS® Customer Intelligence suite of solutions. Major focus areas include improving usability and easing the deployment of analytic insights into a wide range of systems, helping companies make better decisions and improve their business processes.

“At SAS, we strive to provide our customers with powerful analytical solutions that boost their productivity and efficiency,” said Jim Davis, Senior Vice President and Chief Marketing Officer at SAS. “We are pleased with SAS being positioned in the Leader quadrant in Gartner’s Customer Data Mining Magic Quadrant, but we will not rest on our laurels. We are adding more automation to our data mining and analytical offerings to reach an even broader set of business users.”

Users will have the flexibility to apply new automated classifiers and variable selection techniques with the ability to customise the model development process at any stage. New interactive data preparation and exploration tools will also be added to help better discover trends and anomalies and speed the data preparation process. Frontline business managers with little analytical experience as well as the well-versed statistician will achieve timely, high quality results with SAS data mining and analytical offerings.

Coming this fall, SAS Real-Time Decision Manager will enable organisations to combine SAS Analytics with business logic to support marketing strategies. The solution will deliver real-time recommendations for the Web and other interactive customer channels.