Monitoring resources in a network of pipes for the distribution of the resource.

A computerized method for monitoring a resource (e.g. water, waste, gas, etc.) distribution network, the network comprising a network of pipes for delivering resources water to consumers and a plurality of meters positioned within the pipes across the distribution network.. The method includes receiving meter data representing parameters measured by the meters, such as flow, pressure, chlorine level, pH and turbidity of the water being distributed through the pipes. The method also includes receiving secondary data from sources external to the meters and representing conditions affecting consumption of the resource in a region serviced by the resource network such as weather and holidays. The meter and secondary data is analyzed using statistical techniques to identify water network events including leakage events and other events regarding quantity and quality of resource flowing through the pipes and operation of the network. The events are reported to users via a user interface. Also disclosed is a method of analyzing resource distribution throughout a network using a database of network distribution data and having a data preparation engine to pre-process network distribution data and a predictor module to analyze the pre-processed distribution data and predict an expected value of meter data.