# Data Conversion Strategies for Effective Aviation Technical Support as a Service
## 2 Alternative ATSaaS Platform Architectures  
### Centralized ATSaaS Platform Architecture  
In a centralized architecture, the conversion of all non-standard data formats is managed on the provider's side. This model involves a central platform where data from various organizations are collected, processed, and converted into a standardized format that the ATSaaS provider can use. The data flow diagram for the centralized ATSaaS platform architecture (Figure 2) illustrates the complete data journey from airlines to standardized reports through distinct processing layers.  
Figure 2: Data flow diagram for the centralized ATSaaS platform architecture.  
At the airlines input layer airlines generate raw data in their native formats, which flows into the platform's data ingestion layer through a unified data source registry. Within the data processing layer, the flow progresses sequentially through three main processes: the data validation process verifies data integrity, the format conversion process standardizes data formats (supported by the format rules DB), and the Data Processing Engine performs core data processing (utilizing the standardized data DB). Finally, in the output generation layer, the report generation process creates standardized reports as the final output. The diagram uses solid lines to show the main data flow from input to output, while dotted lines indicate database dependencies, clearly depicting how all data standardization and processing occur within the centralized platform structure. This unified flow ensures consistent handling of data regardless of its source, maintaining standardization throughout the entire process.  
Advantages of centralized architecture:
* By centralizing the data conversion process, the ATSaaS provider can ensure consistency in data handling and processing. This approach allows for uniform application of data standards and protocols, reducing the risk of errors and discrepancies.
* Client organizations do not need to modify their existing systems. They can continue to operate using their local information systems without the need to invest in new technology or training, making the transition to ATSaaS smoother and more cost-effective.
* A centralized system can be more easily scaled to accommodate additional clients and data sources. The centralized approach allows for a single point of upgrade and maintenance, simplifying system management.
* Centralizing data processing can enhance security by reducing the number of entry points that need to be secured. The ATSaaS provider can implement robust security measures at the central hub to protect sensitive data. Disadvantages of centralized architecture:
* A centralized system introduces a single point of failure. If the central hub experiences a technical issue or security breach, it can impact all client organizations connected to the ATSaaS platform.
* Collecting and converting data at a central location can introduce latency, particularly if the client organizations are geographically dispersed. This can affect the timeliness of data availability for decision making.
* Setting up and maintaining a centralized data conversion hub requires significant investment in infrastructure and resources. The provider must ensure sufficient computational power and storage capacity to handle large volumes of data.  
The limitations mentioned above can be partially addressed by clustering the underlying hardware and software of the platform, as well as increasing the performance and capacity of computing power, storage, and data processing resources. However, this approach would result in significantly increased complexity in platform maintenance, higher costs for acquisition and support, and greater complexity in platform development.