UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2505420


Registration ID:
561720

Page Number

d675-d684

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Title

Modernizing Financial Transaction Management (FTM) Systems: A Theoretical Review of Data Integration, Optimization, and Predictive Models

Authors

Abstract

In the rapidly evolving digital economy, Financial Transaction Management (FTM) systems have become the backbone of secure, efficient, and compliant financial operations. As financial institutions face increasing demands for real-time processing, cross-border interoperability, and intelligent automation, legacy FTM systems are proving inadequate. This review provides a comprehensive theoretical exploration of the modernization and optimization of FTM systems, focusing on emerging technologies, data integration architectures, and predictive optimization frameworks. Drawing from over thirty authoritative academic, regulatory, and industry sources, the paper critically examines existing research on transaction data structures, technological enablers such as AI, blockchain, and cloud computing, and presents a novel model—the Integrated Data Fusion Optimization Model (IDFOM)—that unifies predictive analytics, dynamic resource allocation, and adaptive compliance mechanisms. Through real-world case studies and comparative performance analysis, the IDFOM is demonstrated to significantly enhance fraud detection, compliance accuracy, and operational efficiency. The review concludes with practical and policy recommendations, outlining future research directions in explainable AI, federated data governance, and global regulatory harmonization. This paper contributes to the theoretical foundations of next-generation FTM systems and offers a strategic roadmap for practitioners, policymakers, and researchers.

Key Words

Financial Transaction Management (FTM), Data Integration, Predictive Analytics, AI in Finance, Blockchain, Compliance Automation, Fraud Detection, Real-Time Payments, Financial Systems Optimization, IDFOM (Integrated Data Fusion Optimization Model)

Cite This Article

"Modernizing Financial Transaction Management (FTM) Systems: A Theoretical Review of Data Integration, Optimization, and Predictive Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.d675-d684, May-2025, Available :http://www.jetir.org/papers/JETIR2505420.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Modernizing Financial Transaction Management (FTM) Systems: A Theoretical Review of Data Integration, Optimization, and Predictive Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppd675-d684, May-2025, Available at : http://www.jetir.org/papers/JETIR2505420.pdf

Publication Details

Published Paper ID: JETIR2505420
Registration ID: 561720
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/jetir.v12i5.561720
Page No: d675-d684
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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