Dynamic Data Governance: A Comprehensive Framework for Effective Data Management in Modern Enterprises
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Abstract
The burgeoning volume and complexity of data in contemporary enterprises demand innovative strategies for efficient data management. This research proposes a dynamic data governance framework designed to address the evolving challenges of modern data ecosystems. Our approach integrates advanced technologies, including machine learning and blockchain, to ensure not only the security and integrity of data but also its optimal utilization throughout its lifecycle. We explore the key components of the framework, emphasizing the importance of data quality assurance, scalable storage solutions, and dynamic governance policies. Furthermore, the research delves into practical applications, providing insights into the implementation of blockchain for securing data transactions and exploring novel approaches to data lifecycle management. The findings of this study contribute to the evolving landscape of data management, offering enterprises a robust and adaptive framework to navigate the complexities of contemporary data environments.
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