Transforming organizations through analytics: key success determinants for business analytics implementation in oil and gas surface infrastructure

However, Business Analytics (BA) implementations frequently underperform, with fewer than 30% achieving anticipated outcomes despite significant capital allocation. This research examines the determinants influencing BA adoption for surface infrastructure optimization within PT XYZ, employing a mixed-methods approach comprising stakeholder interviews (<i>n</i> = 15) and professional surveys (<i>n</i> = 130) analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM).

Drawing upon Socio-Technical Systems Theory, this investigation explores the interrelationships between organizational dimensions and BA implementation outcomes. The findings reveal that governance frameworks serve as the predominant enabler, followed by workforce capabilities and organizational culture, perceived business impact, and technological integration. Structural modeling indicates that governance mechanisms, human and cultural factors, and business value recognition directly affect BA implementation success, while decision-making processes function as mediating variables between implementation and operational performance.