COMPARATIVE ANALYSIS OF BI SYSTEMS IN THE U.S. AND EUROPE: LESSONS IN DATA GOVERNANCE AND PREDICTIVE ANALYTICS

Abstract

This study conducted a comprehensive comparative analysis of Business Intelligence (BI) systems in the United States and Europe, emphasizing the interrelationships among data governance maturity, regulatory rigor, organizational data culture, and predictive analytics integration. The purpose of the research was to evaluate how governance frameworks and institutional structures shaped predictive accuracy, model reliability, and overall BI system efficiency across differing regulatory and cultural environments. A total of 132 peer-reviewed academic papers, industry reports, and empirical studies published over the last decade were systematically reviewed to establish the conceptual foundation, measurement framework, and analytical design of this study. Drawing upon this extensive literature base, a cross-sectional quantitative model was developed and applied to 420 organizations operating within multiple sectors, including finance, healthcare, manufacturing, technology, and retail. The analysis employed structural equation modeling (SEM) to test direct, indirect, and moderated effects among governance maturity, regulatory rigor, data culture, and predictive integration. The findings demonstrated that governance maturity significantly and positively influenced predictive accuracy, model reliability, and BI system efficiency, confirming its role as the central determinant of BI performance. Predictive analytics integration was identified as a partial mediator, indicating that governance maturity indirectly enhanced analytical precision through systematic predictive adoption. Regulatory rigor moderated these relationships, with European firms showing stronger governance-performance linkages due to higher compliance obligations, while U.S. firms exhibited greater agility and innovation capacity. Additionally, organizational data culture emerged as a critical enabler that strengthened BI adoption and improved the operationalization of governance principles. The study revealed that effective BI performance stemmed from the alignment of structural, technological, and cultural systems rather than from technological investment alone. The comparative findings underscored that European organizations excelled in data reliability and compliance consistency, whereas U.S. firms demonstrated superior scalability, speed, and analytical flexibility. Together, these outcomes provided valuable lessons for developing hybrid BI governance models that balance regulatory accountability with innovation agility. The research offered both empirical and conceptual contributions by integrating governance theory, analytics capability, and institutional context into a unified framework, advancing understanding of how transatlantic organizations can harmonize governance maturity and predictive intelligence for sustainable data-driven performance.