KDnuggets : News : 2008 : n17 : item29 < PREVIOUS | NEXT >

Briefs

Viscovery in Gartner Magic Quadrant for Data Mining

Viscovery�s visual workbench extends data mining to business users

VIENNA, Austria -- (31 July 2008) -- Viscovery Software GmbH, a leading provider of data mining and predictive analytics solutions, has been positioned by Gartner, Inc. in the Magic Quadrant for Customer Data-Mining Applications. In the report, international data mining vendors were evaluated based on their completeness of vision and ability to execute. In particular the companies� products and services were evaluated, as well as their market responsiveness and track records. Gartner�s Magic Quadrant 2008 for Customer Data-Mining Applications includes eight companies worldwide.

"We believe our listing in the Magic Quadrant by Gartner confirms our ability to deliver proven predictive analytics solutions that help our clients easily and quickly evaluate their data and predict future customer behavior," said Gerhard Kranner, CEO of Viscovery Software GmbH. "With the recent launch of version 5 of the Viscovery line of products, we have taken a step further in our mission to make our intuitive visual data mining solution a strategic instrument for a wide range of users."

Intuitive predictive modeling and scoring accuracy set Viscovery apart

The Viscovery suite for visual data mining and predictive analytics covers all functions needed for customer analytics projects -- from clustering, customer profiling and segmentation, through scoring and non-linear prediction, up to automatic generation and real-time integration of models. The interactive project environment supports effective model management and contains standard workflows with default parameterizations, which allow simple click-through usage and can be re-used as process patterns.

1 Gartner "Magic Quadrant for Customer Data-Mining Applications" by Gareth Herschel July 1, 2008

For more information, visit www.viscovery.net.

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KDnuggets : News : 2008 : n17 : item29 < PREVIOUS | NEXT >

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