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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

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Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Cross-platform data visualization best practices using power BI and Tableau

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Laxmi Vanam *

The New World Foundation, Seattle, US.

Research Article

International Journal of Science and Research Archive, 2025, 17(01), 077-085

Article DOI: 10.30574/ijsra.2025.17.1.2706

DOI url: https://doi.org/10.30574/ijsra.2025.17.1.2706

Received on 17 August 2025; revised on 26 September 2025; accepted on 30 September 2025

As organizations strive to democratize data and scale insight across various departments, data visualization tools like power BI and Tableau are becoming organizational intelligence strategies. The study presented in this review explores the best practices of designing, delivering, and administering the visualizations on these two favored platforms, based on usability, visual consistency, accessibility and governance. Using comparative literature, theoretical models and experimental results of the subject, the article proposes a Unified Visualization Effectiveness Framework (UVEF) as a way to support cross-platform excellence. The paper has discovered that each of the platforms has its own strengths however, the strategic alignment, visual literacy, and standardization are crucial elements of successful implementation, not the tools used. The paper concludes by giving future recommendation suggestions, which include the need of intelligent-supported design, blended visual control, and migration to cognitive-friendly user interfaces in hybrid analytics systems.

Power BI; Tableau; Data visualization; Business intelligence

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-2706.pdf

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Laxmi Vanam. Cross-platform data visualization best practices using power BI and Tableau. International Journal of Science and Research Archive, 2025, 17(01), 077-085. Article DOI: https://doi.org/10.30574/ijsra.2025.17.1.2706.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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