Using Microservices for Predictive Analytics in Expense Management with SAP Concur on the Cloud
Swetha Singiri · Journal of Quantum Science and Technology. · 2024
This study explores the integration of microservices architecture for predictive analytics in managing corporate expenses using SAP Concur within a cloud environment. The research investigates how microservices facilitate scalability, enhance analytics capabilities, and improve expense management by leveraging cloud computing. The study discusses the role of predictive analytics in identifying patterns in employee expenses, forecasting budget overruns, and automating approvals. A detailed methodology on integrating microservices, cloud infrastructure, and SAP Concur is provided, along with a prototype of the system. Results demonstrate the significant reduction in processing time, improved expense visibility, and better budgeting accuracy. The findings suggest that this approach not only optimizes expense workflows but also offers enhanced agility for enterprises seeking real-time expense analytics.