Paper Title
Best Practices and Challenges in Data Migration for Oracle Fusion Financials
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Authors
DASAIAH PAKANATI , ER. VIKHYAT GUPTA , DR SHAKEB KHAN
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Abstract
Data migration is a crucial phase in the implementation of Oracle Fusion Financials, as it involves transferring vast amounts of data from legacy systems to the new platform. This process presents numerous challenges, including data quality issues, system compatibility, and integration complexities. Effective data migration ensures seamless operation and enhances the benefits of Oracle Fusion Financials by providing accurate, timely, and reliable financial information. This paper explores the various challenges encountered during data migration, analyzes their implications on financial processes, and provides strategic solutions to mitigate these challenges. Through a comprehensive literature review and methodology involving real-world case studies and mathematical modeling, this research offers valuable insights into optimizing data migration strategies for Oracle Fusion Financials.
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"Best Practices and Challenges in Data Migration for Oracle Fusion Financials", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.l294_l314, May 2024, Available :https://ijnrd.org/papers/IJNRD2405837.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : l294_l314
Other Publication Details
Paper Reg. ID: IJNRD_226443
Published Paper Id: IJNRD2405837
Downloads: 000121129
Research Area: Engineering
Country: ghaziabad, up, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405837.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405837
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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