Transition Framework for Shifting Enterprise Systems from PeopleSoft to Oracle Cloud: Emphasis on Operational Flows and Module Adaptation

Authors

  • Dr. Carlos Andrade Institute of Advanced Computing, University of São Paulo, Brazil Author

Keywords:

PeopleSoft,, Oracle Cloud, enterprise system migration, cloud infrastructure

Abstract

The migration of enterprise systems from legacy platforms like PeopleSoft to modern cloud infrastructures such as Oracle Cloud is a critical undertaking for organizations seeking to enhance their operational efficiency, scalability, and innovation potential. This paper presents a comprehensive transition framework that highlights the operational flows and module adaptations required for a successful shift from PeopleSoft to Oracle Cloud. The methodology emphasized in this study integrates both technical and process-centric approaches, focusing on the reengineering of business workflows and the migration of application modules. The proposed framework is designed to address the challenges of system integration, data migration, and the adaptation of legacy modules to a cloud-native environment.

Drawing on existing literature and case studies, this research identifies key success factors and best practices for migrating enterprise systems, with particular attention to aligning organizational goals with technological transitions. The paper also addresses potential risks, challenges, and strategies for mitigating disruption during the migration process. By offering a structured approach to cloud migration, this paper provides both academic insights and practical guidance for practitioners and organizations involved in similar transitions. This research contributes to the growing body of knowledge on enterprise system migration and provides a pathway for future research in the field of cloud computing and enterprise resource planning (ERP) systems.

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Published

2026-02-28

How to Cite

Transition Framework for Shifting Enterprise Systems from PeopleSoft to Oracle Cloud: Emphasis on Operational Flows and Module Adaptation. (2026). EuroLexis Research Index of International Multidisciplinary Journal for Research & Development, 13(2), 1-4. https://researchcitations.org/index.php/elriijmrd/article/view/160

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