Data quality has become a critical determinant of organizational success in the digital era. Strategic decisions increasingly rely on data from enterprise systems, analytics platforms, AI models, and customer interaction channels. Poor data quality leads to flawed strategic decisions, impaired operational efficiency, compliance risks, and weakened competitive position. This paper presents a theoretical analysis of how data quality influences organizational strategies, drawing on information systems theory, resource-based view (RBV), organizational learning theory, and decision support systems research. A Data Quality–Strategy Alignment Model (DQSAM) is proposed, illustrating the pathways through which data quality affects strategic planning, execution, and performance. Figures, conceptual models, and detailed explanatory sections are included. The study concludes with implications for managers, policymakers, and future research directions.