Data governance is what Marie Kondo would have developed had she been raised by a database administrator and a data analyst. Effective data governance is difficult but “sparks joy” because of what it will give back to you. By following sound data governance principles, organizations benefit by...
The modern view of data governance is that it is an area of specialization within information architecture that is responsible for a framework of subordinate architectural disciplines to manage data and its associated metadata as an asset of the enterprise in a comprehensive manner. It begins with u...
Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions about the data in infrastructures. In contrast, we propose a data governance in...
Data classification is a crucial part of data governance that involves organizing and categorizing data based on its sensitivity, value and criticality. With the exponential growth of data, businesses are increasingly concerned about protecting sensitive data, mitigating risks and ensuring data quality. ...
The term “Risk Management” has significantly different meanings that can affect Data Governance programs. At an enterprise level, “risk” refers to many types of risk (operational, financial, compliance, etc.); managing risk is a key responsibility of Corporate Boards and Executive Teams. ...
The paper is structured as follows. First, we began with an overview of theoretical background, starting with IT governance and data governance and their relation with both financial and non-financial performance. Then we use a quantitative method to investigate these relations. Finally, we discusse...
Why Is Data Management Important for Due Diligence? Read more Demystifying B2B Customer Data Platforms Read more Your CRM May Be Driving Bad Decisions Read more Don’t Let “Data” Be a Data-Driven Afterthought Read more Explore D&B Direct for Informatica Read more How Data Governance Challenges...
While the purpose of data governance is to increase the trustworthiness of enterprise data so as to derive business benefits, it remains the case that the primary activity associated with data governance involves classification and access control. Therefore, to understand the roles involved in data go...
A Data Governance Process is defined as an operational process that requires individuals with specific skills to establish and maintain it effectively. It involves managing data-related activities in a decentralized manner, often with immature application support and a matrixed oversight group. ...
Get started with data governance for enterprise AI AI models, particularly LLMs, will be one of the most transformative technologies of the next decade. As new AI regulations impose guidelines around the use of AI, it is critical to not just manage and govern AI models but, equally importantl...