<![CDATA[Data quality plays a crucial role in supporting effective decision-making processes within organizations. Inaccurate, incomplete, or inconsistent data can lead to analytical errors and misguided decisions. This study aims to analyze the dimensions of data quality and their influence on decision-making within organizations. The research employs a descriptive qualitative method using a literature review approach that includes scientific journals, e-books, and institutional reports. The findings indicate that data quality is influenced by six key dimensions: accuracy, completeness, consistency, reliability, timeliness, and uniqueness. Poor data quality can reduce organizational efficiency and undermine trust in information systems. The conclusion of this study highlights that a theoretical understanding of data quality dimensions is essential for building a reliable information system foundation. This study recommends that organizations prioritize data quality management as a strategic element to support more effective decision-making processes.]]>
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