KXEN Positioned in the Visionaries Quadrant for Customer Data Mining by Leading Industry Analyst Firm.SAN FRANCISCO San Francisco (săn frănsĭs`kō), city (1990 pop. 723,959), coextensive with San Francisco co., W Calif., on the tip of a peninsula between the Pacific Ocean and San Francisco Bay, which are connected by the strait known as the Golden -- KXEN, the data mining automation company[TM], today announced it has been positioned by Gartner, Inc. in the Visionaries Quadrant quadrant, in analytic geometry
1 In analytic geometry, one of the four regions of the plane determined by two lines, the x-axis and the y-axis. for customer data mining. The positioning is made in Gartner's 2Q07 customer data mining "Magic Quadrant The Gartner Magic Quadrant is a proprietary research tool developed by Gartner Inc., a US based research and advisory firm. It is designed to provide an unbiased qualitative analysis of a “markets’ direction, maturity, and participants. " report1.
To see the new Gartner report, please visit: http://www.kxen.com/gartner_customerdatamining_mq
"We think this placement is recognition of how KXEN revolutionizes analytics, delivering in hours the kind of results that traditional solutions take weeks or months to achieve," says KXEN CEO (1) (Chief Executive Officer) The highest individual in command of an organization. Typically the president of the company, the CEO reports to the Chairman of the Board. Roger Haddad. "KXEN's hundreds-of-models thousands-of-variables technology is crucial in applications where many customer-related decisions must be made quickly - for example, assessing the likelihood of attrition Attrition
The reduction in staff and employees in a company through normal means, such as retirement and resignation. This is natural in any business and industry.
Notes: and taking immediate action."
KXEN differs from traditional data mining vendors by providing high levels of automation for customer lifecycle analytics. KXEN transforms data mining from a highly specialist back room activity into an integral part of all customer acquisition, cross-sell and retention campaigns. KXEN users report up to ten-fold improvements in campaign response rates and data mining productivity.
About the Gartner Magic Quadrant
The Magic Quadrant is copyrighted 2007 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted de·pict
tr.v. de·pict·ed, de·pict·ing, de·picts
1. To represent in a picture or sculpture.
2. To represent in words; describe. See Synonyms at represent. in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability mer·chant·a·ble
Suitable for buying and selling; marketable.
merchant·a·bil or fitness for a particular purpose.
KXEN, the data mining automation company[TM], drives next generation Customer Lifecycle Analytics for enterprises looking to compete on analytics. Unlike traditional data mining providers, KXEN offers unmatched automation to integrate robust and accurate decision support into core business processes.
KXEN technology delivers large improvements in customer acquisition, cross-sell, and retention applications at more than 500 sites around the world. Founded in 1998, KXEN has headquarters in San Francisco, California “San Francisco” redirects here. For other uses, see San Francisco (disambiguation).
The City and County of San Francisco (EN IPA: [sænfrənˈsɪskoʊ] and Paris, France. For more information, please visit www.kxen.com.
1 "Magic Quadrant for Customer Data Mining, 2Q07," by Gareth Herschel, Gartner, Inc., May 07, 2007.