# Data Conversion Strategies for Effective Aviation Technical Support as a Service
## 1 Introduction
### Related Works  
Data exchange in the aviation industry operates within a framework of regulatory requirements and technical standards to ensure consistency and reliability across stakeholders, including airlines, manufacturers, and maintenance organizations. These frameworks emphasize structured and secure protocols for managing and sharing operational and maintenance data. The European Aviation Safety Agency (EASA) establishes foundational requirements for maintenance data management. EASA mandates that maintenance data must be up to date, readily available, and governed by formal modification procedures. Organizations are required to implement work card or worksheet systems to ensure accurate transcription and maintain systems to monitor amendment statuses. Strict regulations prohibit the use of damaged, altered, or inaccurate maintenance data, ensuring high standards of data quality control [2]. Major aircraft manufacturers have developed advanced platforms to facilitate data management and analysis. Airbus Skywise, for example, organizes data into four domains: (1) aircraft technical data, including post-flight reports and condition monitoring system outputs, (2) maintenance information such as work orders and component replacement records, (3) flight operations data, including flight data recorder and quick access recorder parameters, and (4) engineering documents like service bulletins and technical follow-up records [3]. Similarly, Boeing's Airplane Health Management (AHM) platform comprises three modules: real-time fault management, which monitors ACARS (Airborne Communications Addressing and Reporting System) messages and distributes alerts; performance monitoring, which tracks engine and system trends; and configuration management, which oversees parts installations and modification statuses [4]. The Air Transport Association's (ATA) Spec 2000 provides a standardized framework to optimize data exchange and business operations within the aviation sector. Spec 2000 covers various aspects, including component data management, aircraft transfer documentation, and digital record specifications. Reliability data requirements encompass component removal frequencies, failure mode classifications, and mean time between unscheduled removals. While Spec 2000 improves operational efficiency, enhances traceability, and supports cost control, challenges related to system integration, workforce training, and data privacy remain critical considerations [5]. The Federal Aviation Administration (FAA) establishes guidelines for the implementation of Aircraft Health Management Systems (AHMS), emphasizing advantages such as enhanced safety, operational efficiency, regulatory compliance, and cost savings. These standards define key aspects, including data collection methods, sampling rates, data quality requirements, and transmission protocols. They also specify analysis procedures such as trend monitoring, alert generation, and response strategies. However, operators encounter obstacles such as the complexity of implementation, reliance on advanced technologies, and the need for specialized training to fully leverage the benefits of AHMS [6]. PROGNOS, a predictive maintenance suite, utilizes advanced analytics to forecast potential component failures, enabling proactive maintenance [7]. This reduces unscheduled repairs, minimizes aircraft-on-ground incidents, and enhances fleet reliability. However, the accuracy of its predictive capabilities depends on high-quality, complete input data. Integration with existing IT systems is complex and resource intensive, necessitating time and effort for effective adaptation. Aircraft Maintenance and Operational Software (AMOS) is a comprehensive solution for managing maintenance activities. AMOS centralizes data such as technical records, component histories, and operational logs, ensuring consistency and accessibility for stakeholders. AMOS reduces manual data entry, minimizes errors, and expedites workflows.