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

Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data ...

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

Data governance controls all elements of company data, including how it's managed, mined, analyzed, protected, gathered, and stored.

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

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.

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

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

Data governance is required in order to protect personal data and to ensure that ethics are upheld. This may sound straightforward but it comes at a time when public trust in how ‘big business ...