Ismailov V.
PhD student, Department of Information systems software
Dniprovsky State Technical University, Kamyanske, Ukraine
Yalova K.
PhD, Associate Professor, Department of Information Systems Applications,
University of information technology and management, Rzeszów, Polska
https://orcid.org/0000-0002-2687-5863

Abstract
The presented article is of an overview nature, the purpose of which is to describe the main methods that can be used to analyze and visualize the multidimensional and big data. Multidimensional data analysis provides a deeper and more complex analysis of the data, exploring the relationships and dependencies between different aspects of the data. There are a lot of mathematical methods, approaches and algorithms that can be used to provide the analysis of the multidimensional data. Mathematical methods and information technologies using allow to process big data and present them in a convenient form for making effective management decisions in different data domain. The results of the multidimensional data analysis also can be used to construct generalized strategies for effective decisions making process.

Keywords: intelligent analysis, mathematical methods, multidimensional data, data cube