1. A computerized method for analyzing resource distribution throughout a network, the method comprising: receiving meter data, the meter data representing a plurality of parameters measured by a plurality of meters positioned within a resource distribution network; receiving secondary data from one or more sources external to the meters, the secondary data representing one or more conditions affecting a condition of network assets in a region serviced by the resource distribution network; statistically predicting meter data for at least one meter based on secondary data; comparing the received meter data with the likely distribution of predicted values to detect one or more anomalies if the received meter data deviates from the likely distribution of predicted values; identifying a resource distribution network event on the basis of the detected anomalies wherein identifying the resource distribution network event comprises identifying a faulty meter event by: receiving a first data set representative of a first meter to be analyzed, receiving a reference data set representative of a physically separate second meter, correlating the first data set with the reference data set, determining a time shift based on the correlation of the first data set with the reference data set, and issuing a faulty meter event based on a statistical significance of the time shift; and reporting the resource distribution network event.