National Institute of Technology Raipur.
World Journal of Advanced Engineering Technology and Sciences, 2025, 16(01), 659–666
Article DOI: 10.30574/wjaets.2025.16.1.1257
Received on 22 June 2025; revised on 25 July 2025; accepted on 31 July 2025
Migrating enterprise data to Oracle Fusion Cloud ERP is a foundational component of digital transformation, yet it remains a complex and risk-prone undertaking. This review synthesizes current best practices, technological frameworks, and industry benchmarks that guide efficient and compliant data migration processes. Based on academic sources, ERP partnership case studies, and the Oracle-proposed techniques, the paper discusses the tools, including FBDI, HDL, REST APIs, ODI, and AI-empowered mapping engines. It presents a proposed Fusion Migration Lifecycle (FML) framework, and self-verifies it using actual migration results. The review finds limitations in data governance, automation of data validation and audit-readiness, and provides a foresight approach on the amalgamation of AI, cloud, and native and federated models of compliance as applied to data migration in ERP.
ERP Data Migration; Oracle Fusion; FBDI; HDL; ODI; Data Cleansing; Reconciliation; Cloud ERP; Data Validation; AI in ERP; Migration Governance; Cutover Planning; Post-Go-Live Stabilization
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Deepesh Vinodkumar Semlani. Streamlining ERP Data Migrations: Best Practices for Oracle Fusion Implementations. World Journal of Advanced Engineering Technology and Sciences, 2025, 16(01), 659-666. Article DOI: https://doi.org/10.30574/wjaets.2025.16.1.1257.