Digital Operations in Fintech: A Study of Data-Driven Decision Making

Abstract

Risk management, process efficiency, and customer personalisation are all made
feasible by digital operations. Utilising modern technologies like artificial intelligence,
machine learning, and big data, data-driven decision-making drives optimisation initiatives
in the financial services industry. The study analyse data from academic publications,
industry reports, and case studies in order to integrate qualitative and quantitative research
methods. Regarding the benefit of the whole fintech industry, results show that DDDM, or
decision-driven optimisation techniques, greatly increase operational efficiency, reduce
risks, and identify fraud. The study has also examined the risks associated with data
confidentiality, the effects of regulatory compliance, and provided some insight into best
practices for fintech operations using data-driven additive techniques.