Data Visualization in Big Data Analytics: Tools, Techniques, and Best Practices
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-hr-bg-dt-05
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About the Article
Data visualization transforms complex datasets into clear, engaging formats that enhance understanding, communication, and decision-making. This article examines leading visualization tools—Tableau, Power BI, D3.js, Google Data Studio, and Plotly—highlighting their applications across structured, unstructured, and real-time datasets. Visualization types such as charts, dashboards, geospatial maps, and interactive infographics are analyzed for their effectiveness in conveying insights. Best practices focus on clarity, accuracy, audience awareness, and interactivity, while challenges such as misinterpretation, accessibility, and resource limitations are addressed. Case studies from finance, marketing, healthcare, and urban planning demonstrate the impact of effective visualization on organizational outcomes. By integrating theory, design principles, and real-world applications, this article provides actionable guidance for organizations seeking to leverage visualization as a core component of big data analytics.
Key Topics
- Data visualization tools and platforms
- Charts, dashboards, geospatial maps
- Best practices in visualization design
- Interactivity and storytelling with data
- Accessibility in low-resource environments
- Case studies in finance, healthcare, and urban planning
Suggested Citation
Kazanskaia, A. N. (2025). Data Visualization in Big Data Analytics: Tools, Techniques, and Best Practices. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-05
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