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The relationship between big data analytics and financial performance in the Vietnamese banking sector

Nhan Truong Thanh Dang,Van Dung Ha,V. T. Nguyen

Published 2025 in International Journal of Advances in Applied Sciences

ABSTRACT

The rise of big data has brought both significant advantages and challenges, as nearly all research fields now face large, unpredictable volumes of data at varying speeds. The banking sector, in particular, has gained attention from researchers due to its reliance on data, driven by advancements in computer science. Although big data presents numerous opportunities and challenges across industries, research on this topic in banking remains limited and requires further exploration. To address this gap, this study investigates the relationship between big data analytics (BDA) factors and banks' financial performance, while offering managerial recommendations to improve the use of BDA in managing bank performance. A quantitative research method was applied, using convenience sampling to distribute survey questionnaires to 250 bank employees in Ho Chi Minh City, from junior staff to senior managers. The results indicate that BDA factors, including technological capability, talent capability, and bank capability, have a significant impact on banks' financial performance. This study contributes to raising research awareness on BDA methodologies and provides insights into the relationship between these factors and financial performance.

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