To ensure optimal performance and efficiency for our clients, implementing parallel processing capabilities for this data entity is essential. Given the complex nature of modern business operations, the ability to process data concurrently rather than sequentially can significantly enhance system responsiveness and processing throughput.

Recognizing the critical need for this functionality, we propose a temporary solution: duplicating the data entity. This approach allows for parallel utilization of the entity, thereby circumventing the limitations of single-threaded processing.

By adopting this method, clients can expect improved performance, with the potential for faster data handling and reduced processing times.

This solution serves as an interim measure while we explore more integrated and permanent enhancements to support parallel processing within our system architecture.