- Data analysts would benefit greatly from the ability to
navigate and view combined multidimensional data from
multiple sources, a key requirement of which is the
conformity between their dimensions. The strict
requirements of conformity restrict navigating to related
multidimensional data from unseen or unfamiliar sources.
In this paper we make a distinction between conformed
dimension tables and conformed dimension attributes and
discuss the merits of relaxing the conformity requirement.
We propose extending the navigation operation drill
across to include the non-conformed dimensions and
introduce Nested Pivot Tables as an extension to Pivot
Tables to show how sources that have conformed as well
as non-conformed dimensions can be viewed and
analyzed together.
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