Interpretive Analytics draw from complex event monitoring techniques, rules-driven algorithms and business process analysis to put information into meaningful context.
They dynamically correlate events and detect predictive patterns in structured and unstructured data to infer behavior.
Our interpretive analytics use time series analysis of complex datasets to provide a comprehensive backdrop and framework to uncover correlations, derive inferences, make sense of results and determine appropriate action. They make it possible to optimize risk/reward decision making on the fly and to pinpoint determinants.
Examples of Adaptive solutions using Interpretive Analytics: