Unified metadata models are key in data management, ensuring data accessibility, security and value creation across diverse organizational environments.

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and ...

Too many data-governance efforts are focused simply on using data to measure compliance, Stefaan G. Verhulst writes.

Federal agencies are scaling AI for real-world impact from border security to data governance. Learn how AWS and Thundercat are powering the transformation.

GenAI is transforming industries, but as it evolves, it requires a robust governance, risk and compliance strategy.

From the Human Genome Project to large-scale initiatives like the UK Biobank and The Cancer Genome Atlas (TCGA), the recent ...

Join us on Nov. 7 to discuss the challenges and questions around data governance and altruistic data sharing models.

In a centralized governance framework, different data is categorized differently, with certain governance levels requiring, for example, additional metadata fields or a certain level of service.

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance.

To get the most out of empowering business technologists, organizations need to promote projects heavily while managing them tightly.

Optimal data governance has several potential impacts on maintaining and continually improving an organization's customer experience.