The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

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 ...

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 ...

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

Security, AI, risk and governance leaders must take a proactive approach to data security and governance, ensuring that their organizations are not just reacting to threats but staying ahead of them.

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

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

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.

Data governance impacts both internal and external audiences. Viewing data as an enterprise – not individual – asset is the first step towards a strong program.