The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

An important concept in the multidimensional data model is a subspace or subcube. A subcube represents a part of the full space of the cube as some multidimensional figure inside the cube.

In multidimensional data modeling practice, there is the concept of a bridge dimension. A bridge dimension, being the dimensionalized equivalent of a normalized data design’s associative entity, ...

A degenerate dimension is an easy, and, at the same time, subtle, aspect of multidimensional data modeling. Effectively, a degenerate dimension is a dimension that has not been implemented as a ...

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

Albert Maydeu-Olivares, Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates, Journal of Educational and Behavioral Statistics, Vol. 26, No. 1 ...

The patent abstract indicates that this invention provides a project cost intelligent control method and system based on dynamic multidimensional modeling in the intersection of project management and ...