OLAP Concept as a Basis for Business Analysis of Multidimensional Data Structures


This paper reveals the concept of an OLAP technology stack for solving problems of Big Data multidimensional analysis as applied to business process reengineering of operational and tactical management of an organization based on incoming information about the current state of the external and internal environment of the organization. The description of the technology, its modifications, as well as the possibilities of the technology and application cases are given. OLAP technology allows you to quickly demonstrate the necessary aggregated indicators to the user, i.e., forms a certain data structure at the request of each user. The payment for the efficiency of providing aggregated data is the need for disk space, where additionally generated data tables will be stored. It should also be noted that the MDX language is considered as the query language for the hypercube data, not the SQL language, since it is the most suitable for working with multidimensional data structures. Application areas of OLAP technology are BI-systems, CRM-systems, and organization management systems.

The article is not prepared yet for the html view. Check back soon.

Copyright information

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

About this article

Publication Date

27 February 2023

eBook ISBN



European Publisher



Print ISBN (optional)


Edition Number

1st Edition




Cite this article as:

Sokolov, V. A., Kuzmich, R. I., Stupina, A. A., Ponomareva, K. A., & Pokushko, M. V. (2023). OLAP Concept as a Basis for Business Analysis of Multidimensional Data Structures. In P. Stanimorovic, A. A. Stupina, E. Semenkin, & I. V. Kovalev (Eds.), Hybrid Methods of Modeling and Optimization in Complex Systems, vol 1. European Proceedings of Computers and Technology (pp. 1-10). European Publisher. https://doi.org/10.15405/epct.23021.1