Zhong Guo Min Hang Wang·2025-08-15 00:53Core Insights - Eastern Airlines has independently developed and upgraded its external data sharing platform, which integrates industry resources and creates a data circulation hub covering all operational scenarios and the entire industry chain [1] Group 1: Platform Development and Integration - The platform has achieved integration with numerous entities, including regulatory authorities, airports, fuel suppliers, air traffic control, and inspection units [1] - The upgraded platform has transitioned from a decentralized system to a standardized interface for integration, improving code reuse rates and significantly reducing development costs while enhancing external integration efficiency [1] - Currently, the platform connects data covering 171 domestic airports and 99.8% of domestic inbound and outbound flights, integrating data from 16 airport agents [1] Group 2: Data Governance and Application - The platform has established a systematic data governance framework, creating an external data resource directory that includes standardized integration of 26 types of business data, such as airport resources, support nodes, agent flights, passenger security checks, air traffic control collaborative decision-making, and baggage handling [2] - In the flight support sector, the platform shares core resource data like gate assignments, baggage carousel information, check-in counters, and boarding gates in advance, helping frontline support units enhance flight support efficiency [2] - The platform supports intelligent resource scheduling and tracking of support processes by deeply integrating dynamic data from agent flights and opening data interfaces to support units like Eastern Airlines Catering and Eastern Airlines Technology [2] - In passenger services, the platform creates a "data + service" dual-driven model, enabling automatic multi-channel intelligent push notifications in cases of gate changes or flight delays [2] - Eastern Airlines has established a comprehensive data quality management system based on the integrated data, implementing multi-dimensional quality inspection plans to ensure data quality and enabling timely root cause analysis and rectification of data anomalies [2]