Nuggets uses Artificial Intelligence to find useful patterns in data.

This means that the user does not have to deal with complicated modeling software that use methods such as statistical regression, neural Networks or tree builders.

Building models that can find valuable and actionable information can now be created by the people in an organization that understand the business or scientific problem.

Statisticians and other modelers will now find that many of the restrictive requirements that formerly needed to be met by their data or method can now be ignored with no loss of accuracy.

Missing values do not have to be imputed (i.e. filled in) by using another model or the mean value. These techniques reduce accuracy.

Correlations among predictor variables do not have to be artificially reduced by complex mathematical transformations, which introduce accuracy reducing noise into the results.

Models that have large numbers of predictor attributes can now be handled by Nuggets. Other methods are limited to tens of predictor attributes. Nuggets can deal with thousands.

More importantly, these models are least as accurate in their predictions as other methods.

Easier to use and more accurate is just the beginning.

Since Nuggets models are a simply a set of If-Then rules, their predictions can be better understood by you. Each prediction is supported with an English language rule which explains why the prediction was made, how accurate it is and how often it occurred in the data that gave rise to the model.