1. A method of determining a seasonal effect in temporal data, comprising: receiving ( 104 ) the temporal data relating to an aspect of an enterprise; for each of a plurality of candidate seasons, performing, by a computer ( 600 ): defining an interval for the corresponding candidate season; dividing ( 108 ) the interval into plural buckets containing respective sets of the temporal data, computing statistical measures for corresponding buckets, and using the computed statistical measures to compute ( 112 ) a score for the corresponding candidate season, wherein scores computed for corresponding candidate seasons are used for identifying which of the candidate seasons represents the seasonal effect of the temporal data.