Data Mining
Organizations need to be able to view information from a business perspective, and to use data mining techniques to discover patterns, connections and relationships within data within several different applications or data stores. Data mining is used for multiple purposes, including marketing, fraud & identity theft detection, and financial analysis.
Modulant has developed an approach to data mining that makes use of the CONTEXTIA™ tools and methodology to address both the capture of rules for data mining (how patterns are defined) and the application of those rules to data pulled from heterogeneous sources, allowing business analysts to focus on defining the organization’s needs and acting on the results of the data mining processes.
