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Last updated on 2024年10月23日

What tools can you use to monitor and analyze airport data for better capacity and demand management?

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Airport capacity and demand management are crucial aspects of airline management, as they affect the efficiency, profitability, and sustainability of the aviation industry. However, airport data can be complex, dynamic, and diverse, requiring appropriate tools to monitor and analyze it effectively. In this article, we will explore some of the tools that can help you with this task and how they can benefit your airline operations.

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David Abucha Ramos

ATM/CNS Principal Engineer at Groupe ADP

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1 Airport Data Sources

To monitor and analyze airport data, the first step is to identify the relevant sources of information that can help you achieve your objectives. These sources may include airport authorities for data on infrastructure, facilities, services, charges, regulations, and performance indicators; air traffic control for data on flight movements, delays, slots, and airspace management; and airlines for data on schedules, fares, load factors, passenger profiles, and customer feedback. Additionally, other stakeholders such as ground handlers, security agencies, meteorological services, and environmental organizations can provide data on various aspects of airport operations and impacts. To collect and integrate this data, you can use online platforms, data feeds, surveys, reports, or APIs.

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David Abucha Ramos

ATM/CNS Principal Engineer at Groupe ADP
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Las fuentes de datos aeroportuarias son esenciales para una gestión eficiente y una toma de decisiones adecuada. Todos los stakeholders son importantes y no puedes dejar de olvidar a ninguno de ellos. Para recopilar e integrar estos datos, las plataformas en línea, las API, las encuestas y los informes son herramientas muy útiles.

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2 Airport Data Visualization

The second step to monitor and analyze airport data is to visualize it in a clear and meaningful way. Data visualization can help you to uncover patterns, trends, and relationships in the data, as well as identify any gaps, outliers, or anomalies. It can also be used to communicate insights and findings to your team and stakeholders, as well as support decision-making and planning processes. To visualize airport data, you can use various tools such as charts, graphs, maps, dashboards, or interactive interfaces. Popular examples of data visualization tools include Tableau, Power BI, Qlik, or Google Maps.

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David Abucha Ramos

ATM/CNS Principal Engineer at Groupe ADP
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La visualización de datos es crucial para transformar grandes volúmenes de datos en información comprensible y útil. Las visualizaciones permiten identificar rápidamente patrones y tendencias en los datos, lo que puede ser esencial para mejorar la eficiencia operativa y la experiencia del pasajero. Los gráficos ayudan a detectar valores atípicos que podrían indicar problemas operativos o zonas que necesitan atención. Al presentar los datos de manera clara, las visualizaciones pueden respaldar procesos de toma de decisiones. En cuanto a las herramientas, con ellas puedes crear visualizaciones detalladas, analizar datos en profundidad, seguimiento de rutas de vuelo y la gestión del espacio aéreo y más.

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3 Airport Data Analytics

The third step to monitor and analyze airport data is to apply data analytics techniques to extract valuable insights and recommendations. This can help measure and evaluate the performance of operations, forecast and optimize the demand of resources, segment and target customers, enhance products, reduce risks, and mitigate costs. Different tools such as Excel, R, Python, or SAS can be used for data analytics. Examples of techniques include descriptive, predictive, prescriptive, or exploratory analytics.

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4 Airport Data Management

The fourth step to monitor and analyze airport data is to manage it in a secure and reliable way. Data management can help you store and organize your airport data in a structured and accessible way, protect it from unauthorized access or misuse, update and maintain its quality and accuracy, and share it with your partners and collaborators. Different tools can be used to manage airport data, such as databases, cloud services, encryption, or authentication. Some examples of data management tools are SQL, MongoDB, AWS, or Azure.

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5 Airport Data Governance

The fifth step to monitor and analyze airport data is to establish and follow data governance principles and practices. This can help you define and align your data strategy with your business goals, assign roles and responsibilities to stakeholders, enforce standards and policies for data collection, processing, and usage, monitor and audit activities and outcomes for compliance, and improve processes to meet changing needs. Different tools such as DAMA, COBIT, ISO, or NIST can be used to implement data governance on airport data, such as frameworks, guidelines, checklists, or audits.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What tools can you use to monitor and analyze airport data for better capacity and demand management?

1

2

3

4

5

6

1 Airport Data Sources

2 Airport Data Visualization

3 Airport Data Analytics

4 Airport Data Management

5 Airport Data Governance

6 Here’s what else to consider

Airline Management

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What tools can you use to monitor and analyze airport data for better capacity and demand management?

1

2

3

4

5

6

1 Airport Data Sources

2 Airport Data Visualization

3 Airport Data Analytics

4 Airport Data Management

5 Airport Data Governance

6 Here’s what else to consider

Airline Management

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