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Analytic Framework

KXEN Analytic Framework takes all our data mining technology, capability and know-how and packages it into a truly enterprise strength solution.

It's everything you need to build real value and return on investment from customer acquisition, retention, cross- and up-sell initiatives. From risk management, fraud detection and prevention programs. And from corporate performance management strategies.

And most important it integrates right into, and becomes a seamless part of the applications you use today. Putting powerful analytics right at the heart of your business. With unmatched data set creation and management. With dramatically reduced time to market. With fully automated processes. And with a complete set of data mining functions.

Find out more about the KXEN Analytic Framework by downloading our product overview brochure.

Structural Risk Minimization (SRM)

The primary challenge for statisticians has been to build highly accurate models that are also reliable. This has been particularly difficult given the large number of variables in computer-generated data. Traditional statistics can only produce an accurate model with a few variables, so an expert is needed to reduce the number of variables before building a model. The more variables there are, the more difficult it is to build a reliable model. Only the expertise of the statistician determines the reliability of the model.

SRM, developed by Vladimir Vapnik, is a breakthrough in mathematics and statistics that for the first time makes it possible to automatically build reliable and accurate models. In contrast to traditional statistical models, SRM models become more accurate and are still reliable as the number of variables is increased. Model Accuracy and Reliability are determined by the data, not by the expert.