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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Information Technology Approaches to Credit Monitoring Systems in Banking: Architecture, Implementation, and Use Cases

Authors: Aizere Tleubay*;

Information Technology Approaches to Credit Monitoring Systems in Banking: Architecture, Implementation, and Use Cases

Abstract

Credit monitoring has become an essential part of digital banking systems, allowing financial institutions to track changes in a customer's credit history in real time. This review explores how credit monitoring services are implemented through modern information technologies, focusing on their technical architecture, integration methods, and practical applications. The article describes typical system components such as event-driven APIs, data processing modules, and real-time alert engines. Special attention is given to how these systems are embedded into existing banking infrastructure and how they help banks automate risk analysis and improve customer communication. The paper also outlines use cases where credit monitoring has supported early identification of risk, improved product pre-approval processes, and enhanced loan portfolio management. Implementation challenges, including data privacy, interoperability, and regulatory compliance, are discussed from a technology perspective. This review provides a structured overview of how credit monitoring functions as a key part of decision-making systems in banking and highlights the growing role of IT in shaping responsible and timely credit management.

Keywords

credit monitoring, banking information systems, real-time data processing, event-driven architecture, financial risk management, IT integration

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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Green