The data matrix is interpreted conventionally as ﬁrms being variables and the cities being objects. In this way each column of the matrix is a ‘ﬁrm as variable’ consisting of 123 service values. The distribution of these values across the ‘cities as objects’ represents the global locational strategy of the ﬁrm. Each column will be different because no two ﬁrms have exactly the same global locational strategy. Thus the matrix describes the distinctiveness of ﬁrms. But it also shows similarities between ﬁrms. Large numbers of relatively high correlations between the columns show that the matrix is most certainly not the random collection of service values that would indicate singularity of ﬁrms. Such similarities indicate that there are common patterns among the ﬁrms, and I build upon this to deﬁne those patterns.