Comparative Quantitative Analysis of Leading Business Intelligence Software Platforms

dc.contributor.author	Andrii Kopp
dc.contributor.author	Dmytro Orlovskyi
dc.date.accessioned	2026-01-01T12:08:40Z
dc.date.issued	2022-04-06
dc.description.abstract	In this study, the Business Intelligence (BI) problem domain is considered. A generalized stack of BI software architecture is reviewed, core techniques and capabilities of Business Intelligence are outlined. Among leading BI platforms were considered Power BI, QlikView, and Tableau, which were compared from the viewpoint of their BI capabilities. Different similarity measures were used to compare BI platforms and evaluate their rating based on user feedback.
dc.format	application/pdf
dc.identifier.uri	https://zienjournals.com/index.php/tjm/article/view/1175
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/62874
dc.language.iso	eng
dc.publisher	Zien Journals
dc.relation	https://zienjournals.com/index.php/tjm/article/view/1175/956
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Texas Journal of Multidisciplinary Studies; Vol. 7 (2022): TJM; 23-29
dc.source	2770-0003
dc.subject	Business Intelligence
dc.subject	Software Platforms
dc.subject	Data Analytics
dc.title	Comparative Quantitative Analysis of Leading Business Intelligence Software Platforms
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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