Socio-Economic Statistics Research, 2026, 7(1); doi: 10.38007/SESR.2026.070102.
Linwei Wu
Harrisburg University of Science and Technology, Harrisburg, PA 17101, USA
With the rapid development of big data technology, data visualization technology has gradually become a key tool for decision support. This article relies on the Tableau platform to conduct in-depth research on the application and specific implementation of data visualization in the field of decision support. The article elaborates on the core features of Tableau and its powerful capabilities in data processing, and analyzes its advantages in data integration, analysis, and presentation. Through specific cases, this article provides a detailed introduction on how to use Tableau to complete the entire process from data preprocessing to final visualization display, and explores the applicability and effects of different charts. The article further analyzes how to combine data visualization with improving decision-making efficiency and reducing decision-making risks, and proposes coping strategies for enterprises that may encounter difficulties in adopting data to guide decision-making processes. Research has found that using Tableau for data visualization can enhance the effectiveness and ease of understanding of data transmission, providing more accurate and timely support for enterprise decision-making.
Tableau, Data visualization, Decision support, Data analysis, Business management
Linwei Wu. Data Visualization and Decision Support Analysis Based on Tableau. Socio-Economic Statistics Research (2026), Vol. 7, Issue 1: 10-18. https://doi.org/10.38007/SESR.2026.070102.
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