Navigating the Role of Reference Data in Financial Data Analysis: Addressing Challenges and Seizing Opportunities

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Harish Padmanaban

Abstract

The significance of reference data in financial data analysis cannot be overstated, as it forms the bedrock for precise decision-making within the ever-evolving financial markets. This study delves into the inherent challenges and opportunities associated with harnessing reference data for comprehensive financial data analysis. Challenges encompass issues related to data quality, complexities in data integration, and regulatory compliance. Nevertheless, within these challenges lie opportunities for innovation, including advanced data analytics techniques, artificial intelligence, and blockchain technology, which have the potential to elevate the accuracy, efficiency, and transparency of financial data analysis. By effectively addressing these challenges and embracing these opportunities, financial institutions can unlock the full potential of reference data, enabling them to make informed decisions and attain a competitive advantage in the global arena.

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Padmanaban , H. (2024). Navigating the Role of Reference Data in Financial Data Analysis: Addressing Challenges and Seizing Opportunities. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 2(1), 69-78. https://doi.org/10.60087/jaigs.v2i1.p78
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How to Cite

Padmanaban , H. (2024). Navigating the Role of Reference Data in Financial Data Analysis: Addressing Challenges and Seizing Opportunities. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 2(1), 69-78. https://doi.org/10.60087/jaigs.v2i1.p78

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