Insights

This article looks at how, with thoughtful strategies and the right tools, organisations can turn overwhelming data streams into valuable insights.

Nigel explores what can we do to play our part in ensuring that AI/ML is a force for good, and not a force for evil?

For all data professionals, AI governance specialists, and leaders navigating the ethical and regulatory challenges of artificial intelligence.

How do you ensure AI and data are governed effectively to protect individuals, organisations and society from harm? This panel discussion explores.

Nicola Askham offers valuable insights for those interested in understanding and implementing the principles of Data Mesh and Data Products

Findable, Accessible, Interoperable, and Reusable. This framework provides guiding principles for scientific data management and stewardship

How collaboration, communication, and creativity fosters transparency, enthusiasm and commitment surrounding Data Governance initiatives.

Discover valuable insights for all organisations looking to enhance their data governance practices and ensure their data is fit for intended purpose.

Dave Knifton skillfully guides us towards a data-driven future that is better for employees and customers alike - part 1 of a 3 part series.

James Tucker explains the challenges around creating a better data culture across government and how he hopes they can be overcome.

How to view new regulations covering data privacy and other ethical concerns as a business opportunity rather than a burden.

Unenforceable data principles are toothless: Exploring the Metropolitan Police's 4Es model for effective enforcement.

The issue of trust in data has become a mainstream issue and organisations will increasingly have to demonstrate (not just claim) trustworthiness.

The Cynefin framework has been used to understand challenges and make decisions in context. Here I attempt to apply Cynefin to Data Governance.

Embarking on a new data governance programme? Map the data landscape and build foundations for analytics, data science, and engineering.

Discover how to implement effective, scalable data governance on a tight budget, delivering real value with a pragmatic and focused approach.

Data governance manages roles and processes; data quality ensures accuracy. Together, they form a single framework for sustainable data management.

Neil Storkey shares insights on Data Governance, from starting small to engaging stakeholders, and building a culture for lasting success.

Implementing a Data Governance tool? Nicola Askham shares essential tips on planning, phased rollouts, user training, and ensuring long-term success.

Learn how to sell the value of Data Governance effectively. Nigel Turner shares tips, strategies, and resources for building successful initiatives.