Big Data-Driven Financial Analysis: A New Paradigm for Strategic Insights and Decision-Making

• Author(s): Ibidapo Abiodun Ogundeji ; Hope Ehieghe Omokhoa ; Chikezie Paul-Mikki Ewim ; Godwin Ozoemenam Achumie
• Paper ID: 1707205
• Page: 1544-1569
• Published Date: 30-06-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 12 June-2023

Abstract

Big Data has revolutionized financial analysis, offering unprecedented opportunities for strategic insights and informed decision-making. This study explores a new paradigm where Big Data-driven approaches transform traditional financial analysis into a dynamic, predictive, and strategic tool. By leveraging advanced analytics, artificial intelligence (AI), and machine learning (ML), organizations can derive actionable insights from vast, diverse datasets to enhance financial performance, risk management, and market competitiveness. The proposed framework emphasizes the integration of Big Data with financial analytics to address key challenges such as data volume, velocity, and variety. It underscores the role of predictive modeling in forecasting trends, optimizing resource allocation, and identifying market opportunities. Additionally, real-time analytics is highlighted as a critical factor in improving agility and responsiveness to changing market conditions. The study also discusses the importance of data governance and quality in ensuring accurate and reliable financial insights. Ethical considerations, including data privacy and security, are central to the framework, promoting trust and compliance in data-driven financial strategies. Advanced tools like Natural Language Processing (NLP) and sentiment analysis are examined for their role in evaluating market sentiment and consumer behavior, offering a competitive edge in decision-making. Case studies across industries illustrate the successful application of Big Data in financial analysis, including its impact on investment strategies, credit risk assessment, and fraud detection. The findings demonstrate that a Big Data-driven approach fosters innovation, enhances financial forecasting, and supports strategic decision-making processes. This paradigm shift requires organizations to build robust infrastructure, invest in skilled talent, and adopt a culture of data-driven innovation. The research concludes by emphasizing the transformative potential of Big Data in redefining financial analysis and advancing organizational success in a rapidly evolving economic landscape.

Citations

IRE Journals:
Ibidapo Abiodun Ogundeji , Hope Ehieghe Omokhoa , Chikezie Paul-Mikki Ewim , Godwin Ozoemenam Achumie "Big Data-Driven Financial Analysis: A New Paradigm for Strategic Insights and Decision-Making" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 1544-1569

IEEE:
Ibidapo Abiodun Ogundeji , Hope Ehieghe Omokhoa , Chikezie Paul-Mikki Ewim , Godwin Ozoemenam Achumie "Big Data-Driven Financial Analysis: A New Paradigm for Strategic Insights and Decision-Making" Iconic Research And Engineering Journals, 6(12)