How can you best use big data in aviation?

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Big data is the term used to describe the massive amounts of information generated by various sources in the aviation industry, such as sensors, flight records, passenger behavior, weather, and more. Big data can offer valuable insights and opportunities for improving efficiency, safety, customer satisfaction, and innovation in aviation. However, big data also poses some challenges, such as how to store, analyze, and use it effectively. In this article, you will learn how you can best use big data in aviation by following some key steps and best practices.

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Atul Kadlag

Lead Data Architect @ IBM India | Data Analytics & Visualization | SQL | Python | Power BI | SAP BI
Milagros Cortéz Daniel

Gerente propietario en Gatito Marketing

1 Define your goals

The first step to using big data in aviation is to define your goals and objectives. What are you trying to achieve with big data? How will you measure your success? What are the key performance indicators (KPIs) that matter to you? By answering these questions, you can narrow down your focus and prioritize the data sources and types that are relevant to your goals. For example, if you want to optimize your fuel consumption, you might want to look at data from engine sensors, flight routes, weather, and traffic.

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Atul Kadlag

Lead Data Architect @ IBM India | Data Analytics & Visualization | SQL | Python | Power BI | SAP BI
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Basically Data Analytics is something important step here, understand your data and then apply the appropriate methods to get the valuable insights out of the Big Data. Every data point holds some information, some insightful data which can help better decisions in the aviation business. Being time critical business I believe the right and on time analytics can help for better data-driven decisions.

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2 Choose the right tools

The next step is to choose the right tools and platforms that can help you collect, store, process, and visualize your big data. There are many options available in the market, depending on your budget, needs, and preferences. Some of the factors to consider when choosing your tools are scalability, security, compatibility, usability, and functionality. For example, you might want to use a cloud-based service that can handle large volumes of data and provide real-time analytics and dashboards.

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3 Apply data analytics

The third step is to apply data analytics techniques and methods to your big data. Data analytics can help you transform your raw data into meaningful and actionable insights that can support your decision making and problem solving. There are different types of data analytics, such as descriptive, diagnostic, predictive, and prescriptive, that can serve different purposes and levels of complexity. For example, you might want to use descriptive analytics to summarize your past performance, predictive analytics to forecast your future outcomes, and prescriptive analytics to recommend the best actions to take.

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4 Implement data-driven solutions

The fourth step is to implement data-driven solutions based on your data analytics results. Data-driven solutions can help you improve your operations, processes, products, and services in aviation by optimizing your resources, reducing your costs, enhancing your quality, and increasing your value. Data-driven solutions can also help you create new opportunities and innovations in aviation by identifying new trends, patterns, and needs. For example, you might want to use data-driven solutions to adjust your pricing strategy, personalize your customer experience, or develop new features or products.

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Milagros Cortéz Daniel

Gerente propietario en Gatito Marketing
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Interesante teoría, considero que para implementar soluciones basadas en datos es imprescindible tener un amplio conocimiento y experiencia en el tema o tener una directa asesoría con personas que lo tengan, sobre todo en este tema de la Aviación. Sin embargo, una persona con básicos conocimientos y experiencia también puede realizar grandes aportes en determinados momentos ya que podría alcanzar una perspectiva diferente desde su punto de vista.

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5 Monitor and evaluate your results

The final step is to monitor and evaluate your results and performance after implementing your data-driven solutions. Monitoring and evaluation can help you assess the impact and effectiveness of your solutions, as well as identify any gaps, issues, or areas for improvement. Monitoring and evaluation can also help you learn from your experience and feedback, and adjust your goals, strategies, and actions accordingly. For example, you might want to use monitoring and evaluation to track your progress, compare your results with your KPIs, and test your assumptions and hypotheses.

By following these steps and best practices, you can best use big data in aviation to achieve your goals and objectives, and to create value and innovation in the industry.

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Krishna M

Data Engineer
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In aviation, leveraging big data can enhance safety, efficiency, and overall performance. Consider implementing predictive maintenance by analyzing aircraft sensor data to anticipate component failures. Utilize data analytics for route optimization, fuel efficiency, and demand forecasting. Enhance safety through real-time monitoring of flight data and proactive identification of potential issues. Additionally, analyze customer data for personalized services and improve the passenger experience.

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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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Milagros Cortéz Daniel

Gerente propietario en Gatito Marketing
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Nos encontramos en una era de múltiples avances científicos. Pero en materia del transporte aéreo no son muchos los pasos que considero se hayan podido lograr. Hace muchos a?os teniamos la seguridad de que para esta época contaríamos con la tecnología aérea de naves para toda la humanidad con la que podríamos surcar los cielos y desplazarnos rápidamente de un lugar a otro incluso de manera interplanetaria. Anhelamos y esperamos que la Big data pueda lograr contribuir a esos avances pero considerando además que la humanidad también debe lograr un avance en su conciencia y en el sabio uso de este tipo de tecnología para el beneficio de todos los habitantes de nuestro planeta.???

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How can you best use big data in aviation?

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1 Define your goals

2 Choose the right tools

3 Apply data analytics

4 Implement data-driven solutions

5 Monitor and evaluate your results

6 Here’s what else to consider

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