Managing and analyzing dimensions is one of the most important functions of a multidimensional model. The Dimension Designer helps users define the dimensions, hierarchies, and relationships between dimensions to improve the efficiency of data analysis.
Before introducing indicator management, let's unify the concepts and terms in our system:
In indicator management, derivative indicators refer to indicators derivative from the calculation of original indicator values. Derivative indicators are typically obtained through operations or combinations of original indicators, providing a deeper understanding of the original indicators.
The indicator constraints reduce the dimensionality of the dataset and hence the complexity of data analysis by performing slicing, dicing, and combining slices on multidimensional datasets.
General Functions of AI Copilot
Semantic models of cube are a set of data organized by dimensions and measures. The data view aggregated by cube is a fact table: it contains one or more columns to be measured (aggregated) and also contains columns for identifying events associated with related dimension members.
Query Laboratory provides the functionality to flexibly manipulate data source entities (physical table views or multidimensional datasets) using query statements, assisting users in their daily data operation and maintenance work.
The indicator market is an important part of the indicator management system. Its main function is to provide a platform for users to publish, search, share, and subscribe to indicators.