Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Unraveling the Nexus between Large-Scale Data Influences and Financial Landscape: A Big Data Analytics Perspective

PDF
  • Srikantha Reddy Katti
Srikantha Reddy Katti
Sr. Principal Consultant, Genpact, Poland
Cover

Published 19-01-2024

Keywords

  • Big Data Analytics,
  • Financial Landscape,
  • Industry 4.0,
  • Data Influences,
  • Trends Analysis,
  • Pattern Recognition,
  • Decision Making,
  • Strategic Planning
    • ...More
    Less
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
S. R. Katti, “Unraveling the Nexus between Large-Scale Data Influences and Financial Landscape: A Big Data Analytics Perspective”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 37–50, Jan. 2024, Accessed: Jul. 01, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/16

Abstract

This paper delves into the intricate relationship between large-scale data influences and the financial landscape, leveraging big data analytics techniques to analyze trends, patterns, and correlations to inform decision-making processes and strategic planning in the finance sector within the context of Industry 4.0. The financial landscape is undergoing rapid transformation, driven by the proliferation of digital technologies and the exponential growth of data. In this context, big data analytics has emerged as a powerful tool for extracting insights from large and complex datasets, enabling financial institutions to gain a competitive edge in the market. This paper reviews the latest developments in big data analytics and explores its applications in various areas of finance, including risk management, investment analysis, and customer relationship management. It also discusses the challenges and opportunities associated with leveraging big data in the finance sector, such as data privacy concerns, regulatory compliance, and the need for advanced analytical capabilities. By elucidating the nexus between large-scale data influences and the financial landscape, this paper aims to provide valuable insights for researchers, practitioners, and policymakers seeking to harness the power of big data analytics for driving innovation and sustainable growth in the finance sector.

PDF

Downloads

Download data is not yet available.

References

  1. Chen, Minhua, et al. "Big Data Analytics for Financial Market Prediction." Journal of Financial Management of Property and Construction, vol. 21, no. 2, 2016, pp. 145-164.
  2. Reddy, Surendranadha Reddy Byrapu, and Surendranadha Reddy. "Large Scale Data Influences Based on Financial Landscape Using Big Data." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3862-3870.
  3. Davenport, Thomas H., and Jeanne G. Harris. "Competing on Analytics: The New Science of Winning." Harvard Business Review Press, 2017.
  4. Fosso Wamba, Samuel, et al. "Big Data Analytics in E-commerce: A Systematic Review and Agenda for Future Research." Electronic Markets, vol. 30, no. 2, 2020, pp. 215-235.
  5. Gandomi, Amir, and Murtaza Haider. "Beyond the Hype: Big Data Concepts, Methods, and Analytics." International Journal of Information Management, vol. 35, no. 2, 2015, pp. 137-144.
  6. Kudyba, Stephan, and Richard Hoptroff. "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die." John Wiley & Sons, 2013.
  7. Li, Yixiao, et al. "Big Data in Finance." Big Data Research, vol. 2, no. 3, 2015, pp. 81-87.
  8. Manyika, James, et al. "Big Data: The Next Frontier for Innovation, Competition, and Productivity." McKinsey Global Institute, 2011.
  9. Marr, Bernard. "Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results." John Wiley & Sons, 2016.
  10. McAfee, Andrew, and Erik Brynjolfsson. "Big Data: The Management Revolution." Harvard Business Review, vol. 90, no. 10, 2012, pp. 60-68.
  11. McQuade, Scott T., and Teresa A. Valerio. "Big Data in Finance." Federal Reserve Bank of New York, 2015.
  12. Miller, Nolan, et al. "Big Data: A Survey." ACM Computing Surveys (CSUR), vol. 47, no. 5, 2015, pp. 1-47.
  13. Mukherjee, Avinandan, and Joydeep Banerjee. "Big Data Analytics in Supply Chain Management: Trends and Related Research." Computers & Industrial Engineering, vol. 101, 2016, pp. 572-591.
  14. Ning, Y., et al. "Big Data and Business Analytics." Journal of Management Analytics, vol. 2, no. 3, 2015, pp. 197-201.
  15. Schroeck, Michael, et al. "Analytics: The Real-World Use of Big Data." IBM Institute for Business Value, 2012.
  16. Sivarajah, Uthayasankar, et al. "Critical Analysis of Big Data Challenges and Analytical Methods." Journal of Business Research, vol. 70, 2017, pp. 263-286.
  17. Szilagyi, Peter G. "Big Data and Financial Services: Security and Privacy Concerns." Journal of Financial Transformation, vol. 38, 2013, pp. 39-47.
  18. Thadani, Dheeraj. "Big Data Analytics in Banking: Promise and Potential." Infosys White Paper, 2013.
  19. Alghayadh, Faisal Yousef, et al. "Ubiquitous learning models for 5G communication network utility maximization through utility-based service function chain deployment." Computers in Human Behavior (2024): 108227.
  20. Dutta, Ashit Kumar, et al. "Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits." Multimedia Tools and Applications (2024): 1-23.
  21. Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
  22. Kulkarni, Chaitanya, et al. "Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer." BMC Medical Informatics and Decision Making 24.1 (2024): 92.
  23. Kumar, Mungara Kiran, et al. "Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model." Fluctuation and Noise Letters (2023).
  24. Sati, Madan Mohan, et al. "Two-Area Power System with Automatic Generation Control Utilizing PID Control, FOPID, Particle Swarm Optimization, and Genetic Algorithms." 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2024.
  25. Thomas, Howard. "Big Data Analytics in Financial Services: Market Overview and Trends." Banking and Finance Review, vol. 7, no. 1, 2015, pp. 1-9.
  26. Westerman, George, et al. "Big Data: The Next Frontier for Innovation, Competition, and Productivity." MIT Sloan Management Review, vol. 54, no. 1, 2012, pp. 1-4.
  27. Zikopoulos, Paul, et al. "Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data." McGraw-Hill Education, 2012.

Similar Articles

You may also start an advanced similarity search for this article.