Evaluating the Role of Predictive Analytics in Finance Transformation on Corporate Financial Performance: An Empirical Study

Abstract

Predictive analytics is considered one of the key parts of a modern financial transformation strategy for corporate organizations. When built into the financial systems, it helps a company forecast future financial results, spot areas of risks, make very efficient use of resources, and improve strategic decision-making. This paper gives an in-depth consideration to the part played by predictive analytics in the transformation of the finance function and analyzes the corresponding changes in a company's financial performance at the same time. The research is based on the questionnaire method. Data have been collected from finance professionals working in selected large-scale enterprises who are familiar with digital financial systems and analytics tools. The study reveals that predictive analytics results in a significant improvement in forecasting accuracy, budgeting efficiency, and risk management, which in turn translates into better financial performance of the corporation. Besides, it shows that companies that have adopted predictive analytics have witnessed an increase in their profitability, a decrease in their exposure to financial uncertainties, and a capability for better operational planning. Nevertheless, the main challenges such as poor quality of data, insufficient skilled personnel, and expensive costs of implementation have slowed down its full-scale adoption. After study, the authors agreed that predictive analytics is one of the main forces for the financial transformation and increased corporate performance. They also suggested measures to help effective adoption and integration into corporate financial systems.