Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI-generated data, often known as AI slop.

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

A concise guide to building a trustworthy AI governance roadmap aligned with ISO 42001, balancing compliance, ethics, and ...

In the ever-evolving landscape of data management and utilization, it's crucial to address the prevailing myth that data governance and master data management (MDM) are disciplines strictly reserved ...

Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...