AIRPORT AUTHORITY DATA ANALYSIS USING POWER BI

  • Unique Paper ID: 174721
  • PageNo: 1386-1388
  • Abstract:
  • This study focuses on the use of Power BI for data analysis in airport operations, aiming to enhance decision-making processes, improve operational efficiency, and provide actionable insights for airport authorities. Airports generate vast amounts of data across various functions, including flight schedules, passenger movements, security operations, and logistics. Traditional methods of handling and analyzing this data often fall short of delivering real-time insights. By leveraging Power BI's robust data visualization, integration, and analytical capabilities, this research explore show the tool can streamline data processing and improve the accessibility of critical performance metrics. The analysis emphasizes the creation of interactive dashboards, reports, and predictive models that assist airport authorities in identifying trends, optimizing resource allocation, and forecasting operational bottlenecks. The results demonstrate that Power BI offers a powerful solution for data-driven decision-making, enabling airport authorities to enhance operational transparency, reduce delays, and improve overall customers at is faction. The study contributes to the growing body of knowledge on the application of business intelligence tools in the aviation industry, highlighting the potential of Power BI in transforming airport data management practices.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174721,
        author = {DR.R.S.karthik and MsS.Nithya and MsJ.Pradinya},
        title = {AIRPORT AUTHORITY DATA ANALYSIS USING POWER BI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1386-1388},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174721},
        abstract = {This study focuses on the use of Power BI for data analysis in airport operations, aiming to enhance decision-making processes, improve operational efficiency, and provide actionable insights for airport authorities. Airports generate vast amounts of data across various functions, including flight schedules, passenger movements, security operations, and logistics. Traditional methods of handling and analyzing this data often fall short of delivering real-time insights. By leveraging Power BI's robust data visualization, integration, and analytical capabilities, this research explore show the tool can streamline data processing and improve the accessibility of critical performance metrics. The analysis emphasizes the creation of interactive dashboards, reports, and predictive models that assist airport authorities in identifying trends, optimizing resource allocation, and forecasting operational bottlenecks. The results demonstrate that Power BI offers a powerful solution for data-driven decision-making, enabling airport authorities to enhance operational transparency, reduce delays, and improve overall customers at is faction. The study contributes to the growing body of knowledge on the application of business intelligence tools in the aviation industry, highlighting the potential of Power BI in transforming airport data management practices.},
        keywords = {Power BI, airport data analysis, decision-making, operational efficiency, data visualization, business intelligence, predictive analytics, airport operations, resource optimization, performance metrics, aviation industry, data-driven decision-making, dashboards, airport authority.},
        month = {April},
        }

Cite This Article

DR.R.S.karthik, , & MsS.Nithya, , & MsJ.Pradinya, (2025). AIRPORT AUTHORITY DATA ANALYSIS USING POWER BI. International Journal of Innovative Research in Technology (IJIRT), 11(11), 1386–1388.

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