Dimensions are points of view from where a user can look at the measures stored in the cube. They form the structure of the multidimensional model. A measure without dimensions does not make sense. This can be compared with a record with numbers having no corresponding primary key attributes or secondary explanatory data attributes. It is important, as indicated by the title of this blog, to allocate measures to a dimension, because not all measures do hold sensible values for a dimension.
