KDnuggets : News : 2001 : n18 : item25    (previous | next)

Briefs

ANGOSS To Release KnowledgeSERVER(R) For PeopleSoft RTS
August 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


KDnuggets : News : 2001 : n18 : item25    (previous | next)

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