Data Governance in Decentralized Organizations: Challenges, Solutions, and Technical Approaches

Authors: Dinesh Thangaraju

DOI: https://doi.org/10.5281/zenodo.15054633

Short DOI: https://doi.org/g8838c

Country: USA

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Abstract: Implementing effective data governance frameworks in decentralized organizations can be a complex and multifaceted challenge. These organizations, which often have distributed decision-making structures and diverse business units, face unique obstacles in establishing consistent data management practices. The paper delves into the organizational and technical hurdles that must be overcome. On the organizational front, it examines how to align stakeholders with varying priorities and establish clear roles, responsibilities, and decision-making processes for data-related activities. This can involve navigating complex political dynamics and fostering a culture of data-driven decision-making across the organization. From a technical standpoint, the paper explores solutions for integrating disparate data sources, enforcing data quality standards, and implementing secure data access controls - all while preserving the flexibility and agility that decentralized structures are designed to enable. Additionally, the paper addresses the need to ensure compliance with evolving regulatory requirements, such as data privacy laws and industry-specific regulations. It outlines strategies for developing governance frameworks that can adapt to changing compliance landscapes without compromising organizational agility.

By presenting a comprehensive framework, the paper aims to provide decentralized organizations with a roadmap for implementing robust data governance practices. This includes guidance on establishing clear decision-making processes, defining data stewardship roles, and leveraging technology solutions to enable effective data management across the enterprise. Overall, the paper offers a deep dive into the complexities of data governance in decentralized settings, providing practical insights and solutions to help organizations navigate this challenging landscape.

Keywords: Data Governance, Decentralized Organizations, Policy Implementation, Data Sovereignty, Automated Governance, Edge Computing, Data Security, Compliance Monitoring, Distributed Systems, Policy Framework, Data Quality, Access Control, Federated Governance, Machine Learning, Blockchain, Data Lineage, Regulatory Compliance, Metadata Management, Real-time Monitoring, Data Privacy

Paper Id: 232262

Published On: 2021-12-02

Published In: Volume 9, Issue 6, November-December 2021

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