BriefsANGOSS To Release KnowledgeSERVER(R) For PeopleSoft RTSAugust 29, 2001. TORONTO, CANADA-- Integrated Analytics for PeopleSoft 8 Empower Enterprises To Continuously Improve and Increase Value of Customer Interactions (CDNX: ANC - www.angoss.com) - ANGOSS Software announced today the planned Q4 2001 availability of KnowledgeSERVER (R) for PeopleSoft RTS, an integrated data mining and real time scoring solution for PeopleSoft's recently announced Customer Behavior Modeling (CBM) offering. PeopleSoft CBM and KnowledgeSERVER for PeopleSoft RTS will provide users with a predictive behavior modeling solution critical to developing successful customer relationships. ``We are excited about the vision behind PeopleSoft CBM'' commented ANGOSS President Eric Apps. ``By delivering clients a powerful, proven and robust analytics platform, using open industry standards and Internet technologies, PeopleSoft CBM is helping redefine the advanced analytics solutions marketplace. We look forward to working with PeopleSoft to deliver this value to its clients''. According to Stan Swete, senior vice president and general manager, PeopleSoft CRM, ``Our alliance partnership with ANGOSS represents PeopleSoft's approach to providing open system solutions for clients. The combination of PeopleSoft's pure internet CRM analytics and Angoss' KnowledgeSERVER for PeopleSoft RTS solution will provide clients with an integrated best-of-breed data mining solution for predictive behavior modeling.'' Showcased this week at the annual PeopleSoft user conference, PeopleSoft Connect 2001, PeopleSoft CBM is currently planned for availability in Q4 2001 as part of PeopleSoft's Enterprise Performance Management (EPM) 8.3 release. PeopleSoft CBM uses enterprise-wide customer data integrated with behavioral metrics and demographic information from third-party providers to provide a true ``360 degree '' profile of customers. You can define and select populations of customers, build predictive models and ``score'' customers based on relevant criteria. The predictive models can be saved and applied across the enterprise to drive more successful marketing, sales, and customer service initiatives. For additional information, see www.angoss.com |
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