Integration of Data Warehousing and Visualization in Business Intelligence: A Performance Analysis of Power BI and Tableau

Author(s)	Ramesh Pandipati
Country	United States
Abstract	The evolving landscape of Business Intelligence (BI) necessitates robust tools for data warehousing and visualization to support effective decision-making. This study presents a comparative performance analysis of two leading BI tools Power BI and Tableau focusing on their integration with data warehousing systems. Through a combination of experimental deployment and benchmarking across multiple performance dimensions (e.g., query execution time, visualization load time, data refresh rates), the research evaluates how effectively these tools manage large-scale datasets. Findings reveal notable differences in performance scalability, user interface responsiveness, and compatibility with various data warehousing architectures. This analysis serves as a practical guide for organizations seeking optimal BI solutions tailored to their data complexity and visualization needs.
Keywords	Business Intelligence (BI), Data Warehousing, Power BI, Tableau, Data Visualization, Performance Analysis, ETL, Dashboard Responsiveness.
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-10
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.61126

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International Journal For Multidisciplinary Research