Every day organizations, both commercial and public, collect large amounts of data and store these in databases and data warehouses. They collect all the data to enable them to control and steer their business. The real value of storing all this data is in the business information one can extract from it. However, this is a costly and time consuming process and does not always give you the right answers when using the traditional methods of combining analysts with data mining tools (based on queries). 

Treparel’s business solution takes a different approach and that changes the way data is being mined  This solution is the core of Treparel’s BI server platform named KMX™, that stands for Knowledge Mapping and eXploration.  

Main characteristics of the KMX BI platform are:

• Integrated support vector machines (SVM) technology, that controls the extraction of information from data to be faster, better and more cost effective.
• Multiple Models Technology: instead of building one model for one pattern from a dataset, the traditional method, KMX extracts all patterns from a dataset and converts them into mathematical models. Subsequently, KMX determines all relationships between these models and calculates whether these models are strongly or weakly related. The result is a network of models which is then visually presented in such a way that complete insight into complex and large datasets can be obtained.
• Strong visualization capabilities: to visualize complex data consisting of many variables
• Interface based on Java and Python bindings to integrate the platform into other software solutions
• Flexible import and export capabilities
• Forms In combination with Treparel’s business applications a powerfull business solution