News / Press Releases

SAS Institute Inc.
Tel: +44 (0) 1628 490490
e-mail saspressoffice@suk.sas.com
For more information on SAS, please visit www.sas.com/uk

Press Release

Printer-Friendly Printer-Friendly

News

 

SAS largest CRM predictive analytics vendor

Leading analyst firm distinguishes between core analytics and predictive analytics; SAS delivers both via Customer Intelligence solutions built on enterprise intelligence platform

14 September 2005 -  Leading IT market research and advisory firm IDC has recognised SAS as the largest predictive analytics vendor in CRM per its most recent study "Worldwide CRM Analytic Applications 2004 Vendor Shares: Strength and Churn"(IDC # 33866, August 2005). In its study, which presents market sizing and market share positioning for CRM analytics from 2002 to 2004, IDC clearly delineated the CRM analytics market into two major segments: core analytics and predictive analytics.

"SAS applauds IDC for distinguishing between core analytics and predictive analytics in its annual CRM analytics market study," said Jim Davis, chief marketing officer at SAS. "Core analytics are essential for understanding where an organisation has been. Predictive analytics tell an organisation where it should go next by providing actionable intelligence. SAS has long stressed that predictive analytics are key to any successful CRM strategy."

IDC categorises core analytics as being used to "define or analyse a current or past state and consist of both tools and packaged applications that compute frequencies, cross-tabs, and query and reporting cubes. These analytics correspond to the following IDC functional markets: query, reporting, and analysis, packaged data marts, and analytic applications using these functions or technologies."

IDC defines predictive analytics as including "all analytics, both tools and packaged applications, more complex in their mathematics than core analytics. Predictive analytics are used to determine the probable future outcome of an event or the likelihood of a current state where it is unknown. These analytics include data mining, clustering, decision trees, market basket analysis, regression modelling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and so on. Predictive analytics may also include or be linked with a scoring capability. These correspond to advanced analytics in the following IDC functional markets: data mining and technical data analysis as well as analytic applications using the preceding described functions."

"SAS Institute grew by 25.8% in 2004 and stands by a wide margin as the largest predictive analytics player in CRM, " said Robert Blumstein, research director, CRM Analytics and Marketing Applications at IDC. "Its offerings emphasise optimisation over reporting but with increasingly accessible graphics that non-rocket scientists can readily understand and employ. To this purpose SAS Marketing Optimisation is built on the SAS9 Enterprise Intelligence Platform."

SAS®9 provides an open and extensible Enterprise Intelligence Platform that serves as the foundation for creating and delivering accurate, in-depth intelligence. The SAS Customer Intelligence solutions are built on the SAS Enterprise Intelligence Platform and can be extended, customised and integrated with other SAS and non-SAS applications to deliver new solutions and meet unique business requirements.

About SAS

SAS is the leader in business intelligence software and services. Customers at 40,000 sites use SAS software to improve performance through insight into vast amounts of data, resulting in faster, more accurate business decisions; more profitable relationships with customers and suppliers; compliance with governmental regulations; research breakthroughs; and better products. Only SAS offers leading data integration, intelligence storage, advanced analytics and business intelligence applications within a comprehensive enterprise intelligence platform. Since 1976, SAS has been giving customers around the world  The Power to Know® .

For further information, please contact the team at the SAS press office on:
Tel: +44 (0) 1628 490490
e-mail saspressoffice@suk.sas.com
For more information on SAS, please visit www.sas.com/uk

Copyright © SAS Institute Inc. All Rights Reserved.

Editorial Contacts: