International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Post-Merger Data Integration Frameworks for Financial Institutions

Author(s) Narasimha Chaitanya Samineni
Country United States
Abstract Post-merger integration represents the most complex and risk-sensitive phase of mergers and acquisitions in the financial sector. Modern financial institutions depend heavily on distributed data assets across core banking systems, customer onboarding platforms, loan servicing systems, credit bureaus, regulatory reporting pipelines, fraud systems, trading systems, and digital channels. When two institutions merge, these heterogeneous data ecosystems must be consolidated into a unified architecture that ensures operational continuity, regulatory compliance, data quality, and customer experience stability.
This paper presents an end-to-end Post-Merger Data Integration Framework designed specifically for financial institutions. The framework integrates enterprise data strategy, metadata governance, automated ETL orchestration, master data harmonization, data quality enforcement, mapping libraries, data lineage, and real-time integration capabilities. The study introduces taxonomies of integration challenges, proposes two architecture diagrams, provides large comparative and metrics tables, and outlines a detailed operational adoption roadmap. The findings emphasize that post-merger data integration is not a purely technical problem but a convergence of governance, regulation, technology, and business alignment. [1][3][5][8]
Keywords Post-Merger Integration, Financial Institutions, Data Governance, Data Quality, Core Banking Migration, Metadata Management, Master Data Harmonization, Data Lake Integration.
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-10
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.66460
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E-ISSN 2582-2160
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