A dimension describes some aspect of the data that the company wants to analyze. For example, your company would have a data with time element in it—the Time could become a dimension in your model.

As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow.

They propose a novel experimental approach to the design a multidimensional data model that uses principles of the anchor modeling technique.

The example of this kind of degeneration that would be seen most often is something like degenerating an Order Dimension onto a Shipment Fact. There should be no need for dimensional degeneration ...

The Multidimensional Data Provider (MDP) is a data model that accesses a variety of data structures in a distributed environment. These data structures include SAS data sets, multidimensional ...

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 ...

This example uses PROC PRINQUAL to perform a nonmetric multidimensional preference (MDPREF) analysis (Carroll 1972). MDPREF analysis is a principal component analysis of a data matrix with columns ...

InsertionMapper consists of four independently working modules: Data Preprocessing, Database Modeling, Dimension Deconvolution and Element Mapping. We illustrate InsertionMapper with an example from ...

This problem is exacerbated with data that describe ‘multidimensional’ phenotypes, whereby a description of phenotype requires high-dimensional data.