The Impact of Financial Automation, Business Intelligence, and Internal Controls on Business Performance in Saudi Arabia: A Strategic Financial Approach

Abstract

This study examines the impact of financial automation, business intelligence, and internal controls on business performance through a strategic financial lens. The primary objective is to explore how these technological and operational elements collectively enhance business outcomes, fostering efficiency, accuracy, and informed decision-making. Employing a quantitative research design, the study collects data from businesses in Pakistan using a structured survey questionnaire. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the relationships between financial automation, business intelligence, internal controls, and business performance. The findings indicate that all three factors exert a significant and positive influence on business performance, with business intelligence demonstrating the most substantial impact, followed by internal controls and financial automation. These results underscore the essential role of data-driven decision-making, automation, and robust governance in driving organizational success. Furthermore, the study provides valuable insights for business leaders, emphasizing the need for an integrated approach to technology adoption and process enhancement. By leveraging financial automation and business intelligence while strengthening internal controls, organizations can achieve sustainable growth and maintain a competitive edge in an increasingly digital and data-driven business landscape.