# Data Conversion Strategies for Effective Aviation Technical Support as a Service
## 1 Introduction
### Related Works
However, its implementation requires significant customization, data migration, and staff training. Challenges such as user interface design, system integration, and costs must be addressed for optimal use [8]. Despite the advantages of these platforms and standards, several challenges remain. Seamless data integration with existing systems is critical but often resource intensive. Condition-Based Maintenance (CBM) is a maintenance philosophy that bases repair or replacement decisions on the current or projected condition of equipment [9]. This approach involves a maintenance program that recommends actions based on insights derived from condition monitoring and comprises three primary steps: data collection, data processing,and maintenance decision-making. The primary goal of CBM is to reduce the overall cost of inspections and repairs by analyzing intermittent or continuous data on the operational status of critical components [10]. CBM can range from simple to highly complex implementations. The most common form adopted across industries focuses on data collection, prediction, and corrective actions, with varying levels of automation. Maintenance actions are initiated when these indicators reach predetermined levels of deterioration, ensuring that the equipment is only taken out of service when direct evidence of degradation exists [11]. This evidence-based approach minimizes unnecessary maintenance and optimizes operational efficiency, as maintenance actions are only performed when required to return the equipment to its desired state [12]. ATsaaS functions as a web-based platform that closely follows the Software-as-a-Service (SaaS) cloud computing model [13]. In this model, the software is owned, hosted, and managed remotely by the provider, utilizing a one-to-many architecture. Customers access the services through a pay-per-use or subscription model, relying on a shared framework of code and data definitions [14]. In the broader context of digital business, a platform is a product that enables or supports other products or services. Platforms can range from high-level systems facilitating platform business models to low-level collections of business and technology capabilities that underpin other products or services [15]. This paper [16] expands this definition by describing web platforms as online structures that support a wide range of human activities. The SaaS model emerged as an alternative to traditional enterprise software implementation, addressing high costs associated with licensing, implementation, hardware, and maintenance [17]. The study in [18] describes the digital platform economy as an expanding domain of digitally facilitated business, political, and social interactions centered around digital platforms. These platforms integrate software, hardware, operations, and networks, offering shared technologies and standardized interfaces to a broad user base. As user communities grow, network externalities [19] come into play, enhancing the platform's value. Users benefit from reduced costs, increased certainty about service continuity, access to complementary services and add-ons, and an overall improvement in service quality [20]. For SaaS providers, scalability is crucial. By using economies of scale, SaaS transforms computing infrastructure from a capital expense into an operational expense, offering cost reductions for providers and end-users alike [21]. The functionality and scope of the platform determine the type of information provided and the user experience [22]. By aligning with the SaaS model, these platforms ensure streamlined, accessible, and efficient management solutions for diverse user needs. Data serve as a cornerstone for the operation of web platforms. Data are also integral to modern business environments, enabling business analysis, operational decision-making [23], fostering innovation [24; 25], and driving competitive differentiation. The volume and variety of data influence all aspects of operations, making it a critical strategic asset [26].