International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Financial Engineering | India | Volume 7 Issue 12, December 2018 | Rating: 5.1 / 10


Optimizing Financial Services Through Advanced Data Engineering: A Framework for Enhanced Efficiency and Customer Satisfaction

Preyaa Atri [7]


Abstract: The financial services industry is undergoing a transformative shift propelled by advancements in data engineering. This paper delves into how data engineering significantly enhances operational efficiency and customer experience across various domains such as fraud detection, personalized banking, risk management, and algorithmic trading. Through empirical evidence and survey data, we demonstrate substantial improvements in efficiency and customer satisfaction brought about by data engineering implementations. Additionally, we outline a robust data engineering framework tailored for financial institutions, which integrates advanced tools and practices to address the unique challenges of the industry. This framework serves as a blueprint for achieving streamlined data integration, management, and analysis, further strengthening the capacity for innovation and compliance in the financial sector. We also explore the challenges and opportunities associated with adopting such data engineering practices, highlighting the necessity for strong data governance and ethical considerations within the financial landscape.


Keywords: Data Engineering, Financial Services, Efficiency, Customer Experience, Fraud Detection, Personalized Banking, Risk Management, Algorithmic Trading, Big Data, Machine Learning, Data Governance


Edition: Volume 7 Issue 12, December 2018,


Pages: 1593 - 1596


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