Abstract
This paper presents a framework for modeling and implementation of collaborative data management. The framework ensures information sharing and parallel process development. Building data infrastructure that you can trust necessitates adhering to a sound data management methodology. Reliable data comes from data infrastructures built on solid management concepts. Data analysis on the performance of these systems for integration and the motivation of implementing a data management framework. To acquire and preserve essential information such as conceptual metadata, the underlying culture that makes such a plan effective involves a partnership between business and IT, responsibility among data owners and stewards, and cooperation and collaboration throughout the data management process in an organization. This paper identifies the most appropriate data strategic approach and examines the current data management solutions.
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