Multidimensional Datawarehouse with Combination Formula

TL;DR

This paper explores the use of a combination formula to analyze the depth and potential of multidimensional data warehouses, enhancing OLAP capabilities.

Contribution

It introduces a statistical combination formula to evaluate all possible dimension combinations in hypercubes, improving understanding of multidimensional analysis depth.

Findings

Identifies the range of dimension combinations in hypercubes.

Provides a method to calculate minimum and maximum dimension combinations.

Enhances multidimensional data analysis techniques.

Abstract

Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional datawarehouse is incomplete. Multidimensional give ability to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP). By using some concepts in datawarehouse like slice-dice,drill down and roll up will increase the ability of multidimensional datawarehouse. The research question and the discussing for this paper are how much deepest the multidimensional ability from each fact table in datawarehouse. By using the statistic combination formula we try to explore the combination that can be yielded from each dimension in hypercubes, the entire of dimensi combination, minimum combination and maximum combination.