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New Social Network Analysis Module Strengthens KXEN Automated Data Mining.

Leverages Connections Between People to Boost Marketing Campaign Results and Profitability

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  & PARIS Paris, in Greek mythology
Paris or Alexander, in Greek mythology, son of Priam and Hecuba and brother of Hector. Because it was prophesied that he would cause the destruction of Troy, Paris was abandoned on Mt.
 & LONDON -- Sales, marketing and customer retention campaigns are set to become smarter, more effective and more profitable thanks to a new social network analysis module from data mining automation vendor KXEN. By exploiting the connections between customers of telcos, banks, retails and others, KXEN's new KSN KSN Knowledge Sharing Network
KSN Knowledge Society Network (Institute for Knowledge Innovation and Technology)
KSN Kids Songs Network
 module has shown more than 15% lift improvement in campaign results.

KSN identifies the otherwise hidden links - call records or bank transfers for instance - between friends, families, co-workers and other communities and extracts significant social metrics, pinpointing who are the best connected and who plays the most important role in any group. In this way it reveals valuable new customer intelligence that - when added to existing customer information - can strengthen significantly user organizations' customer acquisition, retention, cross-sell and up-sell campaigns.

Using KSN, companies can increase the accuracy and precision of their campaigns by leveraging the many more customer attributes that the module reveals, allowing them to better predict when customers may be about to churn to another provider, close an account, or buy a new product. A feature unique-to-KXEN allows the analysis of multiple networks and their evolution over time, exposing specific patterns of behaviors like rotational churn, fraud and identity theft.

"Traditional marketing relies on models based solely on customer-vendor interaction and assumes customers act independently of each other," says KXEN's founder and 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. "But the new social network technology in KSN recognizes that customers do indeed interact with each other, and exploits that knowledge to drive up the effectiveness and completeness of marketing and sales campaigns."

KSN integrates with and enriches existing data mining environments or may be deployed entirely standalone. Exploiting viral marketing An online advertising approach that functions somewhat like word-of-mouth. The "viral" refers to how quickly it propagates, but its purpose is not to cause damage like a computer virus, but to make an offer available to the masses.  thinking, it eliminates the normally tedious and labor intensive Labor Intensive

A process or industry that requires large amounts of human effort to produce goods.

Notes:
A good example is the hospitality industry (hotels, restaurants, etc), they are considered to be very people-oriented.
See also: Capital Intensive, Trading Dollars
 aspects of social network analysis. The module provides as many social network maps as users want, recognizing that individuals may belong to many different networks across their business, family and social lives.

KSN, shipping from today, complements the existing KXEN Text Coder module which allows organizations to include plain text data into their analytics activities. Together the two modules, along with KXEN's core software, are behind the company's Data Fusion Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences, which will be more efficient than if they were achieved by means of a single source.  approach which combines structured and unstructured data Data that does not reside in fixed locations. Free-form text in a word processing document is a typical example. Contrast with structured data. See free-form database.  from multiple sources to generate fast accurate results, thus maximizing organizations' return on analytics investments.

Please click here to learn more about the KXEN Social Network Analysis module.

About KXEN

KXEN, The Data Mining Automation Company[TM] delivers next-generation Customer Lifecycle Analytics to enterprises that depend on analytics as a competitive advantage. KXEN's Data Mining Automation Solution drives significant improvements in customer acquisition, retention, cross-sell and risk applications. Its solution integrates predictive analytics Predictive analytics encompasses a variety of techniques from statistics and data mining that process current and historical data in order to make “predictions” about future events.  into strategic business processes, allowing customers to drive greater value into their business. Find out more by visiting www.kxen.com.
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Copyright 2009 Gale, Cengage Learning. All rights reserved.

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Publication:Business Wire
Date:Mar 24, 2009
Words:468
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