KXEN, a provider of automated data mining technology, has launched its Analytic Framework Version 5.0, extending its automated predictive analytic processes.
The new framework enhances results from direct marketing and risk management initiatives. Version 5.0 includes new application components along with performance and ease-of-use improvements. For companies dealing with large scale data mining automation, the solution includes analytic data management, executive reporting and risk modeling tools.
KXEN offers next generation customer lifecycle analytics solutions for enterprises that depend on analytics as a competitive advantage. The company’s data mining automation solution enables improvements in customer acquisition, retention, cross-sell and risk applications.
“With data mining tools from traditional vendors, the user is limited in practical terms to a few dozen predictive variables,” said Roger Haddad, founder and CEO of KXEN, in a statement. “Using clicks, no 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. 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.”
The methodology of KXEN Analytic Data Management automates the production and management of Analytic Data Sets with thousands of variables from different sources of data. These have also been optimized for performance with major databases such as Oracle, SQL Server, Teradata, IBM DB2 and Sybase (
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Alert) IQ. Customers are able to make the most of their investment in data storage using Analytic Data Management which also provides the foundation for large-scale, enterprise-wide analysis factories. These factories address thousands of business questions easily.
KXEN Executive Reporting allows executives to understand the business benefits of the predictive models generated with the KXEN Analytic Framework. It also enables management to quickly monitor strategic KPIs across large numbers of models. This in turn greatly simplifies the process of managing large-scale factory analysis initiatives.
A new feature available in Version 5.0 is KXEN Risk Modeling which provides risk scores for financial institutions seeking to manage and capitalize for risk. It provides scores that are statistically compatible with traditional scorecard methodologies.
Calvin Azuri is a contributing editor for TMCnet. To read more of Calvin’s articles, please visit his columnist page.
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