Paper Title
EVALUATING THE EFFECTIVENESS OF REGTECH (REGULATORY TECHNOLOGY) SOLUTIONS IN INTERNAL AUDIT
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Registration ID: IJNRD_305229
Published ID: IJNRD2504127
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Keywords
Image Captioning, Deep Learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Encoder-Decoder Architecture, COCO Dataset, BLEU Score, Feature Extraction, Sequence Generation, Natural Language Processing (NLP), Computer Vision, Transfer Learning, Training and Validation , Loss Function, Evaluation Metrics
Abstract
This study examines the operations of the Information Processing Group (IPG) within financial services, with a focus on enhancing the efficiency and accuracy of transaction processing. Specifically, it investigates the volume and underlying causes of Non-Straight-Through Processing (NSTP) instructions, which require manual intervention, in contrast to Straight-Through Processing (STP) that automates transactions. While STP is widely valued for reducing operational costs, minimizing errors, and increasing speed, NSTP instructions present challenges due to data quality issues, regulatory requirements, system limitations, and exceptional cases that hinder automation. The study identifies several opportunities for improving operational effectiveness, such as by pinpointing trends and root causes of NSTP transactions to implement automation or process enhancements, which can reduce human error and operational delays. It also discusses strategies to improve customer satisfaction, reduce transaction errors, and enhance decision-making through data analysis. However, challenges such as data complexity, resource constraints, resistance to change, and the integration of new technologies must be addressed to achieve these goals. This research aims to provide insights into improving data quality, refining compliance procedures, and leveraging technological advancements to reduce NSTP transactions. The ultimate objective is to support a more efficient, accurate, and cost-effective processing environment in the financial services industry.
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How To Cite (APA)
Tejas Mene, Swapnil Manekar, & Kaushal Brahma (April-2025). EVALUATING THE EFFECTIVENESS OF REGTECH (REGULATORY TECHNOLOGY) SOLUTIONS IN INTERNAL AUDIT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), b86-b100. https://ijnrd.org/papers/IJNRD2504127.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : b86-b100
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Paper Reg. ID: IJNRD_305229
Published Paper Id: IJNRD2504127
Research Area: Management All
Author Type: Indian Author
Country: Jalgaon, Maharashtra , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504127.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504127
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