Multidimensional scaling to simplify multidimensional data is an attempt "to reduce the dimensionality of data by finding key attributes defining most of the behavior," says Venkatasubramanian ...

In This Chapter. Describing Multidimensional Space. Dimension Attributes. Cells. Measures. Aggregation Functions. Subcubes. Working with relational databases, we’re used to a two-dimensional ...

A multi-dimensional data fabric. This is not a world of a few spreadsheets, the odd word processor and some newfangled digital customer ordering system; this (today) is a world of completely ...

"These strings of hundreds of attributes are called high-dimensional data because each attribute is called one dimension. Data mining is about digging up interesting information from this high ...

This data structure allows information to be multi-indexed, which allows for rapid drill-down on data attributes. Data cubes are usually used to perform what-if scenarios over identified data indices.

In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes.

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 ...