1. A computer-implemented method of processing financial events, the method comprising: detecting, using a computing device processor, a plurality of financial events by receiving data associated with the events from a plurality of detection channels, wherein the detection channels include an anti-money laundering system, a financial institution security system and a financial institution accounts system; formatting, using a computing device processor, the data for each of the financial events into an event interface record; enriching, using a computing device processor and at least one database, the data corresponding to the plurality of financial events, wherein enriching comprises locating, in the least one database, data elements that are determined to be missing in the event interface record based on key identifiers and adding the data elements to the event interface record; consolidating, using a computing device processor, the financial events into a plurality of financial event groups, wherein each financial event group comprises one or more financial events and each of the financial events in a financial event group are related based on a financial account relationship; scoring, using a computing device processor, each of the financial events in each of the financial event groups based on pre-defined risk factors and customer experience data, wherein customer experience data includes transaction history related to one or more customers associated with the financial event, prior suspicious activity report (SAR) history associated with the one or more customers and prior cases investigated associated with the one or more customers; summing, using a computing device processor, the scores of each of the financial events with a financial event group to result in a financial event group score; and comparing, using a computing device processor, the financial event group scores to a pre-defined threshold and as a result of the comparing: establishing, using a computing device processor, a case for investigation corresponding to the financial event group, when the financial event group score for the financial event group meets or is above the pre-defined threshold, and statistically sampling, using a computing device processor, the financial event groups when the financial event group score for the financial event group is below the pre-defined threshold, wherein statistically sampling further comprises: stratifying, using a computing device processor, the financial events within the financial event groups having financial event group scores below the pre-defined threshold into a plurality of subgroups; and selecting, using a computing device processor, a financial event from each of the plurality of subgroups as a statistically sampled financial event; and applying, using a computing device processor, the statistically sampled financial events as at least a portion of the customer experience data for subsequent scoring processes.