Streamlining ERP Data Migrations: Best Practices for Oracle Fusion Implementations

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.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-07-30
DOI
https://doi.org/10.30574/wjaets.2025.16.1.1257
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00
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article

Streamlining ERP Data Migrations: Best Practices for Oracle Fusion Implementations

Deepesh Vinodkumar Semlani
World Journal of Advanced Engineering Technology and Sciences
Advanced Database Systems and Queries
article

Streamlining ERP Data Migrations: Best Practices for Oracle Fusion Implementations

Deepesh Vinodkumar Semlani
article en

Abstract

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.

World Journal of Advanced Engineering Technology and SciencesVol. 16(1)
Openalex Percentile: Top 76%
Advanced Database Systems and Queries
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