A computer-automated method for analyzing performance data for a utility network that supplies a commodity to a consumer, the method comprising: receiving a data set containing a log of a first time sequence of utility network events (a, b, c) occurring in the utility network in which each utility network event is associated with at least one utility network location and has been classified into one of a plurality of event types including at least one relating to consumption of the commodity; creating a second time sequence from the first time sequence by aggregating the events into event groups (A, B, C, D, E), wherein each event group is defined as a plurality of events which are in a specific sequence of event types, each event group being classified into one of a plurality of event group types; creating a third time sequence from the second time sequence by aggregating the event groups into event super-groups (a, β, β'), wherein each event super-group is defined as a plurality of event groups which are in a specific sequence of event group types, each event super-group being classified into one of a plurality of event super-group types; and rendering into a visualization at least one of the time sequences such that in the visualization each of said types is visually distinct from other types in the same time sequence, wherein: data relating to events belonging to a commodity consumption event type are collected as a meter reading taken by a metering device located at a consumer location and operable to measure consumption of the commodity by the consumer, and wherein that part of the data set relating to such a commodity consumption event type is received over a communications path; at least one of the event types relates to utility network events that are relevant for supply of the commodity; and data relating to events belonging to a commodity supply event type are collected as a sensor reading taken by a sensor device located at a commodity generator location and operable to measure supply of the commodity to the network, and wherein that part of the data set relating to such a commodity supply event type is received over a communications path. receiving a data set containing a log of a first time sequence of utility network events (a, b, c) occurring in the utility network in which each utility network event is associated with at least one utility network location and has been classified into one of a plurality of event types including at least one relating to consumption of the commodity; creating a second time sequence from the first time sequence by aggregating the events into event groups (A, B, C, D, E), wherein each event group is defined as a plurality of events which are in a specific sequence of event types, each event group being classified into one of a plurality of event group types; creating a third time sequence from the second time sequence by aggregating the event groups into event super-groups (a, β, β'), wherein each event super-group is defined as a plurality of event groups which are in a specific sequence of event group types, each event super-group being classified into one of a plurality of event super-group types; and rendering into a visualization at least one of the time sequences such that in the visualization each of said types is visually distinct from other types in the same time sequence, wherein: data relating to events belonging to a commodity consumption event type are collected as a meter reading taken by a metering device located at a consumer location and operable to measure consumption of the commodity by the consumer, and wherein that part of the data set relating to such a commodity consumption event type is received over a communications path; at least one of the event types relates to utility network events that are relevant for supply of the commodity; and data relating to events belonging to a commodity supply event type are collected as a sensor reading taken by a sensor device located at a commodity generator location and operable to measure supply of the commodity to the network, and wherein that part of the data set relating to such a commodity supply event type is received over a communications path. data relating to events belonging to a commodity consumption event type are collected as a meter reading taken by a metering device located at a consumer location and operable to measure consumption of the commodity by the consumer, and wherein that part of the data set relating to such a commodity consumption event type is received over a communications path; at least one of the event types relates to utility network events that are relevant for supply of the commodity; and data relating to events belonging to a commodity supply event type are collected as a sensor reading taken by a sensor device located at a commodity generator location and operable to measure supply of the commodity to the network, and wherein that part of the data set relating to such a commodity supply event type is received over a communications path.