Optimizing E-Banking Application Performance: A Case Study on Enhancing Homepage Efficiency and Throughput in Infosys Finacle eBanking

In the rapidly evolving landscape of e-banking, application performance plays a crucial role in enhancing user experience and optimizing resource utilization. This study presents a case study on Infosys Finacle eBanking, focusing on redesigning the homepage to improve efficiency, reduce database query overhead, and enhance overall throughput. Traditional e-banking systems often suffer from high latency due to excessive dynamic data retrieval, multiple API calls, and unnecessary in-line calculations, leading to degraded performance and increased server load To mitigate these challenges, we propose an optimized homepage design that:Displays only essential user-specific data that does not require complex multi-table joins.Reduces the number of database queries by leveraging pre-calculated values instead of real-time computations.Minimizes redundant API calls by optimizing caching mechanisms and leveraging session-based retrieval.Introduces a typeahead search feature, reducing the need for unnecessary page navigation and repeated queries.Implements user behavior-driven link recommendations, ensuring frequently used services are easily accessible, thereby enhancing usability and performance. The research utilizes Oracle Database as the backend, Java for application logic, and IBM WebSphere with Enterprise Java Beans (EJB) for transaction management, reflecting the prevalent technological stack in enterprise e-banking applications. Experimental results indicate that query optimization and homepage redesign improved login times by 35% and reduced backend query load by 40%, demonstrating significant performance gains.This study contributes to the broader field of e-banking performance engineering by offering a structured approach to optimizing user experience and backend efficiency. The findings underscore the importance of data pre-processing, intelligent caching, and user-centric design in reducing operational costs and improving throughput in large-scale e-banking systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15572237
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing E-Banking Application Performance: A Case Study on Enhancing Homepage Efficiency and Throughput in Infosys Finacle eBanking

Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
article

Optimizing E-Banking Application Performance: A Case Study on Enhancing Homepage Efficiency and Throughput in Infosys Finacle eBanking

article en

Abstract

In the rapidly evolving landscape of e-banking, application performance plays a crucial role in enhancing user experience and optimizing resource utilization. This study presents a case study on Infosys Finacle eBanking, focusing on redesigning the homepage to improve efficiency, reduce database query overhead, and enhance overall throughput. Traditional e-banking systems often suffer from high latency due to excessive dynamic data retrieval, multiple API calls, and unnecessary in-line calculations, leading to degraded performance and increased server load To mitigate these challenges, we propose an optimized homepage design that:Displays only essential user-specific data that does not require complex multi-table joins.Reduces the number of database queries by leveraging pre-calculated values instead of real-time computations.Minimizes redundant API calls by optimizing caching mechanisms and leveraging session-based retrieval.Introduces a typeahead search feature, reducing the need for unnecessary page navigation and repeated queries.Implements user behavior-driven link recommendations, ensuring frequently used services are easily accessible, thereby enhancing usability and performance. The research utilizes Oracle Database as the backend, Java for application logic, and IBM WebSphere with Enterprise Java Beans (EJB) for transaction management, reflecting the prevalent technological stack in enterprise e-banking applications. Experimental results indicate that query optimization and homepage redesign improved login times by 35% and reduced backend query load by 40%, demonstrating significant performance gains.This study contributes to the broader field of e-banking performance engineering by offering a structured approach to optimizing user experience and backend efficiency. The findings underscore the importance of data pre-processing, intelligent caching, and user-centric design in reducing operational costs and improving throughput in large-scale e-banking systems.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 52%
Advanced Database Systems and Queries
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.