1. A processor-implemented method comprising: selecting a subset of a plurality of dimension members of a multi-dimensional data set; computing a plurality of dimensional scores for the dimension members in the selected subset, wherein each dimensional score is associated with a particular dimension member in the subset and is a measure of a dimensional influence of the associated dimension member on a metric associated with the multi-dimensional data set, wherein a dimension member with greater dimensional influence affects a value of the metric over a population more than a dimension member with less dimensional influence; and ranking the dimension members in the selected subset based on the dimensional scores.