<![CDATA[The digital era has brought about a major transformation in the way organizations manage and utilize data. Data management is a key strategy in supporting decision-making based on accurate, fast, and relevant information. However, the rapid growth of data volume, diversity of sources, and complexity of data integration and security pose challenges in its management. These challenges include issues of data quality, inconsistency, duplication, and limitations in infrastructure and human resource capabilities. In addition, demands for compliance with regulations such as GDPR and the Personal Data Protection Act add to the complexity of ethical and responsible data management. On the other hand, technological developments such as big data analytics, artificial intelligence, the Internet of Things (IoT), and cloud computing present great opportunities to improve the efficiency and effectiveness of data management processes. Organizations that are able to adopt a data-driven approach and apply good data governance principles will gain competitive advantage, accelerate innovation, and improve customer satisfaction. This article comprehensively discusses the challenges and opportunities in data management from a data management perspective, and presents a framework for building an adaptive and sustainable data management strategy in the digital era. With a literature analysis and case study approach, this article aims to provide conceptual and practical contributions for organizations that want to optimize the potential of data as a strategic asset.]]>
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