Building Sustainable Data Ecosystems: A Framework for Long-Term Data Governance in Multi-Cloud Environments

Abstract

Building sustainable data ecosystems is essential for organizations seeking to manage and utilize vast amounts of data across multi-cloud environments. A sustainable data ecosystem ensures the secure, compliant, and efficient management of data while supporting long-term business objectives. This framework focuses on the integration of data governance practices in multi-cloud environments, emphasizing the importance of data quality, security, and compliance. It also explores the use of advanced technologies like Artificial Intelligence (AI), Blockchain, and Machine Learning (ML) to optimize data management processes. The paper proposes a comprehensive approach to designing and implementing sustainable data governance strategies, ensuring scalability, flexibility, and transparency. The framework outlined in this work is aimed at helping organizations navigate the complexities of multi-cloud data environments while maintaining robust governance and fostering innovation.