A Comprehensive Study Of Incorporation Of Information Science Into Financial Management
Main Article Content
Abstract
The incorporation of information science into financial management signifies a notable advancement in the financial sector, propelled by the growing intricacy and magnitude of financial data. This review paper analyses the most recent advancements, patterns, and methodologies in this integration, emphasising the revolutionary influence of cutting-edge technologies such as big data analytics, artificial intelligence, blockchain, robotic process automation, cloud computing, and natural language processing. These advancements have completely transformed the way financial decisions are made, risks are managed, and operations are streamlined. They have empowered institutions to handle massive amounts of data, automate intricate activities, and provide customised services. Although there are difficulties in guaranteeing data security, preserving data quality, merging new technologies with existing systems, and resolving talent deficiencies, the potential for development and enhancement is significant. This article thoroughly examines the aforementioned problems and investigates the possible advantages, such as better accuracy in decision-making, cost reduction through automation, the development of innovative financial products, greater consumer experiences, and more efficient compliance with regulatory requirements. The results emphasise the crucial significance of information science in influencing the future of financial management, facilitating the development of a more adaptable, streamlined, and protected financial ecosystem. As financial institutions evolve to keep up with technological breakthroughs, the incorporation of information science will be crucial in effectively navigating the intricacies of the contemporary financial environment and attaining long-term prosperity.
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References
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