Enhancing Operational Effectiveness and Streamlining Performance of Verification Platform, Dashboard Using Java and Python

Abstract

The operational effectiveness and performance of a verification platform or dashboard play a crucial role in ensuring accurate and efficient data validation processes. This abstract presents an approach to enhance the operational effectiveness and streamline the performance of a verification platform using Java and Python. In the backend, the Java programming language is utilized to develop a scalable and robust architecture for the verification platform. It provides a foundation for handling concurrent requests, managing data storage and retrieval, and ensuring secure communication. Java frameworks such as Spring Boot can be employed to expedite development, integrate with databases, and enable efficient testing. Python is employed to enhance the platform's performance by writing scripts that enhance the speeding time.