Abstract
The digital economy has revolutionized the way businesses operate, and financial data management plays a crucial role in this transformative landscape. This paper uses qualitative research methods, analytical and synthesis methods, inductive and interpretive methods explores the key aspects of financial data management within the context of the digital economy. It examines the fundamental elements of data collection, processing, and storage, emphasizing the importance of ensuring data security in an era of increasing cyber threats. Additionally, the paper delves into the technologies driving financial data management, such as artificial intelligence, machine learning, blockchain, and data analytics, highlighting their applications and potential benefits. It also discusses the advantages of effective financial data management, including optimized decision-making, enhanced transparency, improved financial analysis capabilities, and strengthened fraud prevention measures. Finally, the paper explores the future prospects of financial data management, including advancements in technology and data processing capabilities, and the integration of data across various platforms.
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Thi, H.T., Ngoc, L.D.T., Thanh, S.N. (2024). Financial Data Management in the Digital Economy. In: Nguyen, T.H.N., Burrell, D.N., Solanki, V.K., Mai, N.A. (eds) Proceedings of the 4th International Conference on Research in Management and Technovation. ICRMAT 2023. Springer, Singapore. https://doi.org/10.1007/978-981-99-8472-5_33
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DOI: https://doi.org/10.1007/978-981-99-8472-5_33
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