Multi-dimensional data modeling is popular today and for good reason. It is a very powerful and flexible way to model actual phenomena in the real world. Any measurement (of a phenomenon) can be classified (or identified) through myriad attributes (who, what, where, when, how, etc). Each of these attributes are used as individual dimensions in this model. And the number of such attributes is unlimited.
The term hypercube is utilized to communicate the nature of this model. A hypercube is a cube-like logical model in which all measurements are organized into a multidimensional space.
The "Cube" in VisiCube
In building your data universe (the VisiCube project in which you will explore that data), your measurements are captured in a hypercube which supports analysis through any number of independent dimensions of that data.
However, VisiCube does this with a minimum of imposition, doing its best to buffer you from the complexities of that model. Specifically, the hypercube data model is built for you automatically (though you can override its structure) upon creation of a project and presented to you in a straight-forward, intuitive manner thereafter.Error processing SSI file