Framework of Hub and Spoke Data Governance Model for Cloud Computing

Abstract

As data increasingly becomes a strategic asset, organizations encounter challenges managing and governing data effectively, especially in cloud environments.Large organizations with multiple business units worldwide often have a predominantly decentralized structure and a variety of data sources. This paper provides a framework for designing a practical data governance model for globally distributed organizations that use the hub-and-spoke model to run their business and operations strategically. Manufacturing, retail, logistics, and healthcare organizations are some of the few industries that gain great value with this framework. The framework addresses the growing need to manage distributed data silos while balancing centralized control with local flexibility.

The paper identifies five critical decision domains central to governance success and introduces the concepts of dataset rating and scope, which are vital for designing a robust data catalog. As organizations are rapidly expanding worldwide and adapting different cloud technologies and creating data silos, this framework provides a scalable solution for organizations to achieve governance objectives.