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Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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INTEGRATING SALESFORCE WITH CORE BANKING SYSTEMS: PATTERNS, PITFALLS, AND PERFORMANCE CONSIDERATIONS

Authors: Sangam, Geetha Krishna;

INTEGRATING SALESFORCE WITH CORE BANKING SYSTEMS: PATTERNS, PITFALLS, AND PERFORMANCE CONSIDERATIONS

Abstract

Financial institutions are increasingly leveraging Salesforce as a customer engagement andrelationship management platform, while continuing to rely on core banking systems formissioncritical functions such as deposits, lending, payments, and compliance. To achieve aseamless 360° client view, these two ecosystems must be tightly integrated, yet the processintroduces architectural, operational, and regulatory challenges. This paper examinesintegration patterns between Salesforce and core banking platforms, outlines common pitfallsin data exchange and system orchestration, and highlights performance considerations criticalto scalability and compliance. Case studies from banking transformations demonstrate howinstitutions can deliver real-time engagement without compromising data integrity orregulatory alignment.As financial institutions embrace digital transformation, the integration of customerrelationship management platforms like Salesforce with Core Banking Systems has becomecritical for unified client experiences and operational efficiency. This paper investigates the keyintegration patterns for bridging these systems, outlines common pitfalls encountered duringimplementation, and evaluates performance considerations necessary for a scalable, secure, andreal-time ecosystem. The study also highlights case scenarios and emerging practices that canenhance interoperability and data governance in financial services.

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    influence
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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