Organization productive operations now develop insights through big data driven decision-making systems capable of performance enhancement. Structural Equation Modeling (SEM) provides the theoretical framework for this investigation which examines the relationships between big data capabilities and organizational performance outcomes. The study investigates the fundamental elements within big data capabilities which incorporate infrastructure alongside analytical tools and data quality factors and human expertise to determine their relationship with operational and strategic results. This research uses Structural Equation Modeling to decode invisible patterns and causal sequences to establish a thorough understanding of determined performance drivers. The research demonstrates organizational readiness with data-driven culture as essential elements for achieving maximum big data potential.
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