Setting up Data Management

In order to ensure that even those members of the air navigation community, who are getting started or are in the early stages of data management can meet future data collaboration requirements related to data exchange, they need to have a minimum understanding of 4 basic knowledge areas:

1.    Data Storage and Operations:

•    Efficient and reliable data storage is critical for handling the large volume of performance data generated in air navigation systems.
•    Operations involve the day-to-day handling of data, ensuring.

2.    Data Quality:

•    Ensuring data accuracy, consistency, and reliability is fundamental for making informed decisions and maintaining system integrity.
•    High data quality enhances the credibility and trustworthiness of performance metrics.

3.    Data Integration and Interoperability:

•    Integration facilitates the combination of diverse data sources, providing a comprehensive view of system performance.
•    Interoperability ensures seamless communication and data exchange between different components of the air navigation system.

4.    Data Warehousing and Business Intelligence:

•    Data warehousing provides a centralized repository for historical and current performance data, facilitating trend analysis.
•    Business intelligence tools enable meaningful insights and informed decision-making based on performance data.

These parts contribute to the seamless acquisition, storage, integration, and analysis of data, ensuring that decision-makers have access to accurate and meaningful information for optimizing performance.

Given the external environmental demands of each member country (such as data security, with each country having its own regulations) and their respective levels of data management maturity, the content in the other knowledge areas can each develop independently. For instance, security needs to be deployed in accordance with the regulations of each country, master data can be better coordinated to manage data assets, and data architecture can be better designed, etc.

From the perspective of future international data exchange activities (projects), each project may present specific data solutions and requirements for each member State. It is not necessarily required that the work in the other seven knowledge areas be handled entirely by all member States.