Implementing and Improving Data Analytic Capabilities in Airports

Airports stand at the front line of data analytics innovation by effectively harnessing the power of big data to achieve strategic business objectives. As air travel continues to grow, airports will face new challenges in responding to the needs of passengers. Data analytics procedures and techniques can help airports gain insights from data that support decision-making and improve operational efficiency.

To remain competitive in a world of constantly changing technology and business systems, airports need to identify the strategies to implement and investments to make now that will provide the greatest returns in the future. As airports evolve in their strategies of data management, analytics, and governance, substantial gains can be realized by expanding the use of analytics and upgrading their software platforms and computing infrastructure. This project provides a roadmap for airports seeking to modernize and improve their data management and analytics methodologies for more effective data-based decision-making. 

The primary business intelligence objective of implementing data analytics solutions is to make management decisions based on insights extracted from data. The effective use of data analytics can enable airports to harness the very large amounts of information generated across the airport—traffic, parking, passenger behaviors, operations, retail sales, financial statistics—to provide a more comprehensive understanding of the factors that affect day-to-day operations. Information about key performance indicators (KPIs) is communicated with reporting dashboards and data visualizations.  Analytical models are used to forecast target outcomes based on historical and real-time information to provide actionable data that supports decision-making and business planning. Ultimately, airports can improve operations based on the insights gained from the power of data and analytics.