1. A computer implemented method for implementing data fusion, the method comprising the steps of: aggregating data from a plurality of sources via one or more computer networks, wherein the data comprises at least unstructured data wherein the unstructured data comprises video, images and voice data; extracting one or more features from the aggregated data; enriching the extracted data by compiling the data into one or more categories to identify one or more variances in volume, acceleration, deceleration and velocity of activity; wherein the step of enriching the extracted data further comprises the step of aggregating the enriched extracted data by similar features and generating an actionable report in response; generating one or more datasets based on the enriched data for identifying potentially fraudulent activity; and automatically identifying one or more proposed actions, based at least in part on the actionable report, to address the potentially fraudulent activity using a graphical interface; wherein the one or more proposed actions are identified from a group comprising at least an autonomic response, investigation and incident of interest.