Data governance is a framework that defines how an organization uses its data. It is based on clear rules, tools, processes, and roles.
How to set up effective data governance?
Structuring the use of data within an organization
Published on 30/01/2026 in Webinars, keynotes and videos
During ThinkNXT 2025, Vincent Dock, expert at Proximus NXT, explains data governance. He shows why this topic is becoming critical for organizations and explains how to structure data use over time.Do you want more control over your data usage?
Data governance becomes more important as organizations use more data and face more rules
Vincent Dock, Business Development & Partnership Lead at Proximus NXT
In this short video, Vincent Dock explains what data governance is and why it is becoming essential for organizations. He shows how data governance brings together tools, rules, processes, and people to frame how data is used.
You will learn why organizations rely more on data, especially with the rise of artificial intelligence (AI), and why this evolution makes data governance necessary, at a time when data-related rules continue to increase.
Vincent outlines the main benefits of data governance: it helps organizations comply with internal and external rules (such as GDPR), improves data quality, makes access easier, and helps reduce costs by keeping only useful data.
The video also looks at security: good data governance ensures that only authorized people can access data which helps reduce the risks linked to incorrect or inappropriate use.
Finally, Vincent explains how organizations can approach data governance step by step, and why data & AI go hand-in-hand. He stresses the need to adapt the framework to each organization, and shows how Proximus NXT supports organizations, from initial assessment to growing data governance maturity over time.
Want to learn how data governance works in practice?
Watch the full expert talk video below.
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Data governance is important because organizations use more data and must comply with a growing number of internal and external rules.
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Start with an assessment to understand the current situation, define what you want to do with your data, set up a suitable platform, and gradually increase data governance maturity.
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Data governance involves top management, data scientists, data stewards, and all employees.
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Data governance is a priority today because data plays a central role in business activities and decision-making