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Angoss Demonstrates Predictive Analytics Plug-In for

Posted in Business Intelligence, Data Mining, Predictive Analytics by Pankaj Gudimella on April 2, 2008

Angoss Software Corporation (Angoss) (TSX-V: ANC), a leading provider of predictive analytics solutions for the financial services and information and communications technology industries announced today at the Gartner Business Intelligence Summit the availability of Angoss KnowledgeSEEKER® for, a Sales and Marketing Analytics plug-in for

Seamlessly integrating with, Angoss KnowledgeSEEKER® for provides sales and marketing professionals with predictive analytics to increase sales volumes and revenue, improve sales force productivity, increase forecast accuracy and more – all with measurable ROI.

“We believe this is one of the most significant product launches in our company history that extends over many years of data mining firsts from in-database mining, to embedded data mining with Microsoft SQL Server, and CRM platforms such as Siebel and PeopleSoft” commented Angoss President Eric Apps. “Our clients and many others across the finance and ICT industries are struggling to drive higher revenue from customers and prospects while reducing net sales expense. Our On-Demand analytics solutions produce highly targeted, data-driven analytics deployed directly to sales teams and have already been proven to significantly improve revenue growth in the mutual fund, wealth management and telecom industries. By leveraging the flexibility and configurability of the On-Demand platform, we are now able to expand and extend these capabilities while delivering substantial, incremental value to users.”

Angoss KnowledgeSEEKER® for is for marketers, sales managers, and sales reps seeking to maximize customer value, improve sales force productivity, reduce sales cycles, and increase forecast accuracy. Angoss KnowledgeSEEKER® for provides a suite of tools to score leads based on predicted conversion rate, predict account revenue potential and mine opportunities for insight to predicted likelihood to close, lose, or push.

Read the press release.


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