A method and system are provided for identification of constituent events in an event storm in operations management. The method includes: detecting an event storm by detecting an anomaly from a dynamic baseline range of expected event rates in a sample time period; and, when an event storm is detected, for each of a group of events grouped by an event category and occurring in a sample time period of an event storm, identifying the group of events as constituting part of the event storm if the rate of the event occurrences of the group in the sample time period is outside a threshold deviation from an average for that group.