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Modernizing Legacy Banking Systems: Migration Strategies and Cost Optimization in Financial Enterprises
Abstract
The banking industry is currently at an inflection point. Legacy platforms, many of which are decades old utilizing COBOL have been driving core banking processes globally. However, many of these legacy platforms are struggling to support the growing demand for innovation and improved customer experience. This paper examines the imperative for modernization within financial organizations, by analyzing why banks cannot wait much longer before they begin to transform the underlying technology that supports their business mode. Using current case studies from the financial services industry and new methodologies, this paper provides an overview of possible migration methods to support the transition, and how to best achieve both the reduction of risk and the maximum potential for innovation. This study suggests that a hybrid approach of strategic re-platforming and incremental modernization provides the most effective way to measure the success of a project using a wide range of metrics. Additionally, cost optimization was identified as one of the key elements in achieving a successful modernization project, and cloud-native architecture was identified as having significant potential to improve long term financial and operational performance. These findings should provide a practical roadmap for financial executives who are trying to navigate the challenging journey from legacy constraint to technological freedom.
Article information
Journal
Frontiers in Computer Science and Artificial Intelligence
Volume (Issue)
1 (1)
Pages
43-52
Published
Copyright
Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0/
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.

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