摘要: |
Data analytics is a broad term that encompasses many diverse types of data analyses. Any type of information can be subjected to data analytics techniques to gain insights that can be used for decision-making. Complicated airport organizational structures make it difficult to identify the primary areas of concern, prioritize actions, and make effective changes for the future. Yet with the introduction of data analytics, airports can better understand not only their day-to-day operations, but ultimately address their challenges by monitoring key performance indicators (KPIs) and using evidence-based decision-making. Data is abundantly available throughout the airport setting and can be found in areas such as operations, finance, retail, and passenger movement, but the limiting factor is often collecting and analyzing the data to empower airport decision-makers. Other impediments to data analytics include resource limitations, data contained in silos, inconsistent metrics, and lack of training in the use of modern data science techniques.
Through data analytics, airports can perform valuable tasks such as better visualizing their data to gain a more comprehensive understanding of their operations, developing predictive analysis and what-if scenarios, backing up their management decisions with hard data, identifying operational inefficiencies, and leveraging historical information and/or real-time data to better plan for the future.
The objective of this research is to develop an ACRP WebResource to help airports leverage data more effectively by building or enhancing their data analytic capabilities. |