Year: 2025
Type: article
Abstract: This article investigates the impact of predictive modelling on enhancing corporate financial performance. Drawing on conceptual and theoretical analysis, the study highlights the ways in which predictive analytics enables organisations to forecast market trends, optimise resource allocation, and mitigate financial risk. The findings underscore the critical role of data-driven decision-making in improving profitability, operational efficiency and strategic planning. By integrating advanced predictive technologies, corporations are able to anticipate financial challenges and opportunities, thereby supporting more informed investment and management decisions. The study further addresses implementation challenges, and identifies best practices for the effective application of predictive models in corporate finance. The research demonstrates that predictive modelling serves as a key tool for promoting sustainable financial growth and maintaining competitive advantage in today’s dynamic business environment.
Authors: Dariia Drozd, Biruta Sloka
Institution: University of Latvia
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4417036916
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