One of the core features of STEP is the ability to store multidimensional data. Dimension-dependent data is presented differently based on the dimension in which it is stored, such as language or country. Most often, data is dimension-dependent for purposes of translation when content needs to be stored in multiple languages, though sometimes data is made dimension-dependent if it must vary in different countries, markets, or business units.
Dimensions, dimension points, and contexts are maintained in the STEP Workbench on the System Setup tab under the Contexts node.
This documentation section includes the following topics: