Learn with the new KnowledgSEEKER 5.0, how different groups of customers will respond to your promotions and campaigns, and/or which customers are most likely to submit fraudulent insurance claims, extremely valuable information for your organization.

What if you had a method of reducing your risk and costs, while at the same time increasing your revenue and more effectively targeting customers?

KnowledgeSEEKER enables both technical and non-technical users to apply powerful decision tree algorithms to company data. In no time at all, scalable decision trees and graphs will reveal critical relationships within your data and provide answers to questions such as how certain groups of customers will typically act in a particular situation. KnowledgeSEEKER displays models that visually allow you to clearly see the segments that matter, and it also displays graphs that enable you to quickly act on results. KnowledgeSEEKER allows to you work smarter and more efficiently.

The heart of KnowledgeSEEKER is its decision tree induction process, which has the power to determine dependencies between variables and display results in a highly interactive and visual decision tree. You will not only be able to identify significant relationships, but will also discover new connections that will allow you to form insightful conclusions and determine significant actions to help improve your business.

Key features include:

Client server or Stand alone architecture
open standards for data import
fast, visual data profiling helps identify trends within data to help future exploration and modeling
ability to prepare data via calculated columns without having to return to the data source
powerful analytical decision tree algorithms
fully scalable
business rule code generation