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Analisis Kualitas Data dan Dampaknya terhadap Pengambilan Keputusan dalam Organisasi Tessa Fadilla; Muhammad Irwan Padli Nasution
Jurnal Manajemen Kewirausahaan dan Teknologi Vol. 2 No. 2 (2025): Juni : Jurnal Manajemen Kewirausahaan dan Teknologi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumaket.v2i2.573

Abstract

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.