Data integration algorithm

Abstract

This study describes an Automated File Conversion System designed to simplify document format conversion within Nanyang Technological University's (NTU) digital environment. Converting documents between formats such as Excel, Word, and PDF is a common yet time-consuming task that frequently requires manual effort or third-party programs, which may pose security concerns. To address this issue, the project used cloud automation to create a secure, efficient, and fully integrated file conversion workflow that was designed specifically for NTU's existing Microsoft 365 platform.

The Automated File Conversion System employed a serverless architecture to seamlessly connect document storage with processing services, removing the need for manual interventions while complying with NTU's data security rules. Performance testing demonstrates it saves significantly more time compared to traditional conversion methods while maintaining high dependability and formatting accuracy across a wide range of document types. Furthermore, the system is designed for scalability, making it ideal for university-wide adoption without requiring technical knowledge from users. This solution effectively addresses process bottlenecks, resulting in immediate benefits for students and faculty members by automating document conversions and enhancing overall productivity in academic and institutional operations.