Phased Enterprise Data Migration Strategies: Achieving Regulatory Compliance in Wholesale Banking Cloud Transformations

Phani Santhosh Sivaraju ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2025, vol. 8, issue 1, 291-306

Abstract: As wholesale banking has morphed in response to regulatory pressures, the movement of enterprise data to cloud has not only been a desire of technology but it is now a regulatory mandate. Under pressure by regulators and market forces the banks have to ensure that their strategies of shifting large volumes of sensitive financial information to cloud environments are secure, reliable and compliant. An enterprise data migration using a phased process provides a roadmap where the risk is lowered in various stages, business continuity is achieved and continuous compliance validation is maintained through the migration diversion. In contrast to single approaches or big bang approaches, phased approaches allow banks to break migration into manageable phases- pilot workloads, core systems, and legacy decommissioning, and apply tight control on governance, auditing and alignment to regulations. This paper looks at how staged migration policies can assist wholesale institutions in achieving compliance requirements to their frameworks (including Basel III, GDPR, AML/KYC, and PCI DSS) whilst leveraging the scalability, flexibility and efficiency of cloud adoption. Important technical and operational factors such as data classification and encryption protocols, cross-border data transfer risks and hybrid-cloud deployment modalities are incorporated in the discussion. Governance, risk, and compliance (GRC) alignment may therefore receive special consideration where a step-by-step migration results in ongoing control, reporting, and regulatory compliance. Comparative tables demonstrate the difference between the big bang and phased strategies, regulatory- driven categories of data, and compliance-driven KPIs to assess the level of success in transformation. This article presents phased enterprise data migration as a future-proof solution to cloud transformations of wholesale banking through the combination of strategic insight and practical considerations. The results imply that not only phased strategies reduce the risks of non-compliance, but they also increase the institutional resilience and lead to innovation and competitiveness in the digital-first financial environment.

Keywords: Enterprise Data Migration; Wholesale Banking Cloud Transformation; Regulatory Compliance in Finance; Phased Migration Strategies; Cloud Risk and Governance (search for similar items in EconPapers)
Date: 2025
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