Data Mining is a process of building models or equations that describe the salient but often subtle characteristics a collection of data. The process often starts by finding natural segmentations in data where logical groupings appear. Those groups can then be classified into segments that have particular meaning to a business. Based on these classifications and segmentations, models can be built which have some ability to make predictions on new data entering a system.

There are many different approaches for developing models from data. Most rely on advanced statistical methods like linear and non-linear regression techniques. While these techniques are important, they do not fill all possible needs for models of data and do not always identify all the salient features of the data. Other non-statistical methods include decision trees and neural networks, a data modeling technique developed from computational modeling of human brains.

NuTech Solutions employs both traditional methods of data mining as well as more advanced, non-traditional and patented methods that are particularly suited to finding non-linear relationships in data. These types of approaches allow NuTech Solutions' models to make better predicitons from incoming data. NuTech Solutions' modeling techniques are not only able to make predictions, but are also able to explain what factors were considered in making those predictions.

NuTech Solutions employees a world-class group of data miners. NuTech Solutions' data mining group combines expertise in most current data mining tools on the market with advanced tools built in-house allowing for better and more powerful models to be created. These models often form the foundation for our adaptive business solutions.