KXEN Analytic Framework Version 5.0 Accelerates Data Mining Automation Throughout The Analytic Enterprise

KXEN, the global provider of automated data mining technology, today announces the launch of its new KXEN Analytic Framework Version 5.0. The new version extends KXEN’s leadership in automating predictive analytics to improve the results of direct marketing and risk management initiatives. In addition to performance and ease-of-use improvements, Version 5.0 offers new application components. Analytic Data Management, Executive Reporting and Risk Modeling provide powerful tools for companies using large-scale data mining automation across the enterprise.

KXEN Analytic Data Management’s patent-pending methodology automates the production and management of analytic data sets with tens of thousands of variables from different sources of data, and has been optimised for performance with each of the major databases such as Oracle, SQL Server, Teradata, IBM DB2, and Sybase IQ. Analytic Data Management allows KXEN customers to leverage their investment in data storage and provides the foundation for large-scale, enterprise-wide analysis 'factories' in which thousands of business questions are easily addressed.

"With data mining tools from traditional vendors, the user is limited in practical terms to a few dozen predictive variables. Using clicks, not code, KXEN’s next generation Analytic Data Management not only automates the process of creating analytic data sets, it eliminates the need to limit the scope of the data used for analysis," said KXEN's founder and CEO Roger Haddad. "With KXEN Analytic Framework Version 5.0, companies can take advantage of the wealth of information across the enterprise to increase the effectiveness of their analytics."

KXEN Executive Reporting gives executives insight into the business benefits of the predictive models generated with the KXEN Analytic Framework. Executive Reporting allows management to quickly monitor strategic KPIs across large numbers of models, greatly simplifying the process of managing large-scale factory analysis initiatives.

Also new in Version 5.0 is KXEN Risk Modeling which provides risk scores for financial institutions seeking to manage and capitalise for risk. Providing scores that are statistically compatible with traditional scorecard methodologies, KXEN’s Risk Modeling gives companies the opportunity to generate and update risk scores for each individual customer and transaction based on the latest available information.

“Increasingly, our financial services customers use KXEN to support features of their overall risk-management process. Our Risk Modeling functionality gives our customers the ability to find pockets of opportunity where the timeliness of the analysis and depth of contributing variables provides a strategic advantage,” said KXEN’s co-founder and CTO Erik Marcade.

“Best-in-class companies recognise the need for answering more and more business questions with analytics. KXEN Analytic Framework V5.0 provides important new tools for companies that are ready to move beyond traditional cottage-industry analysis to large-scale factory analysis,” said KXEN user Dr. Kenneth Reed of Xtreme Data Mining, LLC.