Data fusion is a process used for the merging of separate surveys conducted
with different samples of respondents. The result is a single database, en
abling the user to understand the relationships between the variables uniqu
e to one survey with those unique to the others. Thus, a fused database may
purport to explain how the regular readership of a magazine or the audienc
e of a TV programme is unusually rich in buyers of a particular grocery ite
m, thereby demonstrating the value of including these media in a schedule f
or that item.
In this paper the authors discuss the rationale for data fusion, applicatio
ns of data fusion, and present some empirical results regarding the validit
y of data fusion in a particular context. The theoretical assumptions of da
ta fusion and the different tests that can be used for validating a specifi
c data fusion are also summarised.