• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
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HOME > Archive > 2025 > Volume 13 Number 2 (2025) >
JOEBM 2025 Vol.13(2): 188-191
DOI: 10.18178/joebm.2025.13.2.865

Complex Analysis in Business Information Flow – Need for a CFOs Deep Learning Ledger

Radhakrishnan Venkatesan
IT, Vertafore, Hyderabad, India
Email: Radhakrishnan.venkatesan@gmail.com (R.V.)

Manuscript received November 26, 2024; accepted January 22, 2025; published April 25, 2025.

Abstract— Information flow and the corresponding Business Information Flow Threats/Risks are key parameters in this Internet age. It has been noted that Information Flow and Business Information Flow risks are analysed in Solos. Further, it is surprising to note that the Flow of Business Information as well as the Business Information Flow controls that are defined around it has not been studied as a Mathematical Structure as a whole by CFO and the Business Information Flow/IT Audit/Compliance Team. In this paper we shall see the overview of the same to convert a normal information flow to a Mathematical structure of data which can be aligned/reviewed by the various stakeholders. We shall review the flow specific to the two areas of Mathematics.

Keywords—mathematical structures, surfaces and curves, vector and tensor calculus

Cite: Radhakrishnan Venkatesan, "Complex Analysis in Business Information Flow–Need for a CFOs Deep Learning Ledger," Journal of Economics, Business and Management, vol. 13, no. 2, pp. 188-191, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 
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