Harnessing Advanced Data Engineering for Enhanced Efficiency and Customer Satisfaction in Financial Services

International Journal of Computer Science and Engineering

© 2024 by SSRG - IJCSE Journal

Volume 11 Issue 7

Year of Publication : 2024

Authors : Robin Verma

10.14445/23488387/IJCSE-V11I7P104

How to Cite?

Robin Verma, "Harnessing Advanced Data Engineering for Enhanced Efficiency and Customer Satisfaction in Financial Services," SSRG International Journal of Computer Science and Engineering , vol. 11,  no. 7, pp. 22-27, 2024. Crossref, https://doi.org/10.14445/23488387/IJCSE-V11I7P104

Abstract:

The financial services industry is undergoing a profound transformation driven by advancements in data engineering. This paper examines how data engineering significantly boosts operational efficiency and enhances customer experiences across domains, including fraud detection, personalized banking, risk management, and algorithmic trading. Supported by empirical evidence and survey findings, we illustrate substantial efficiency gains and increased customer satisfaction resulting from data engineering implementations. Furthermore, we present a comprehensive data engineering framework tailored for financial institutions, incorporating advanced tools and methodologies to address industry-specific challenges. This framework serves as a blueprint for achieving streamlined data integration, management, and analysis, thereby bolstering innovation capabilities and regulatory compliance in finance. Additionally, we explore the complexities and opportunities associated with adopting these data engineering practices, emphasizing the critical need for robust data governance and ethical considerations in the financial landscape.

Keywords:

Data engineering, Fraud detection, Personalized banking, Risk management, Algorithmic trading, Big data, Machine Learning, and Data governance.

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