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Automated Ledger or Fintech Analytics Platform?

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  • Andrew Kumiega

    (Stuart School of Business, Illinois Institute of Technology, Chicago, IL 60616, USA)

Abstract

Initially designed as an automated ledger tool, Excel swiftly evolved into a data analytics platform for financial analysts to execute intricate financial analyses. Excel is so commonplace in the financial industry that many do not even consider it a fintech tool. The transformation of Excel from a simple ledger tool to a low-code machine learning (mL) platform is not a traditional focus for fintech. The transformation of Excel into an mL platform will let financial analysts and quantitative analyses quickly evolve financial models in Excel to use advanced mL techniques. The low-code interface lets analysts quickly build predictive models. This paper explores how Excel has evolved into a low-code machine platform for financial applications along with the risks associated with Excel’s new functionality.

Suggested Citation

  • Andrew Kumiega, 2025. "Automated Ledger or Fintech Analytics Platform?," FinTech, MDPI, vol. 4(2), pages 1-12, April.
    • Handle: RePEc:gam:jfinte:v:4:y:2025:i:2:p:14-:d:1626403
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    References listed on IDEAS

    as
    1. Andrew Kumiega & Ben Van Vliet, 2008. "Optimal Trading of ETFs: Spreadsheet Prototypes and Applications to Client-Server Applications," Interfaces, INFORMS, vol. 38(4), pages 289-299, August.
    2. Tola, Vincenzo & Lillo, Fabrizio & Gallegati, Mauro & Mantegna, Rosario N., 2008. "Cluster analysis for portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 235-258, January.
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