Analyzing financial analysts' role in business optimization and advanced data analytics
1 Independent Researcher, Toronto, Ontario, Canada.
2 Independent Researcher, UK.
3 Leenit, UK.
4 Standards Organization of Nigeria.
Review
International Journal of Frontiers in Science and Technology Research, 2024, 07(02), 029–038.
Article DOI: 10.53294/ijfstr.2024.7.2.0054
Publication history:
Received on 28 August 2024; revised on 05 October 2024; accepted on 08 October 2024
Abstract:
This paper explores the evolving role of financial analysts in business optimization, focusing on their increasing reliance on advanced data analytics to drive strategic decision-making. It examines the historical shift from traditional financial analysis to more data-centric responsibilities, highlighting how modern financial analysts contribute to operational efficiency, cost reduction, and revenue growth through data-driven insights. Integrating advanced tools such as artificial intelligence, machine learning, and predictive analytics has enabled financial analysts to interpret complex datasets, optimize business processes, and improve market positioning. However, adopting these technologies comes with challenges, including a steep learning curve, data integration difficulties, and ethical concerns related to data privacy and bias in AI algorithms. This paper also discusses future trends in financial analysis, emphasizing the growing importance of real-time data analysis and automation in business optimization. The paper concludes by stressing the need for financial analysts to continually adapt to the rapidly evolving technological landscape to effectively shape corporate strategy.
Keywords:
Financial analysts; Business optimization; Data analytics; Artificial intelligence; Predictive analytics
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0