 He explains how the initial goal of this data capture and analysis is typically to identify sets of characteristics, which makes it easier to manage the billions of data points (see ""Big data"") these sets may contain.As these characteristics are grouped, it is hoped that the members of each group can be better understood.This information can then be used, with varying but often increased success, in early incident detection, to predict outcomes, project the effect of stimulus on the groups and, in many cases, to influence group members' behavior.