Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines As more colleges and ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Data quality and data governance ...

In the eyes of many, data -- clean, clear and accurate data -- rules the universe. When data suffers from poor quality, however, both the business and its customers can suffer. And even when data is ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...

The electric utility industry is undergoing a major transformation driven by new sources of energy generation (solar and wind power), consumer demand for faster and more affordable services, cyber ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

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 ...

Enterprise adoption of agentic AI is accelerating, but scaling its use requires a strong foundation of high-quality, accessible data and robust governance frameworks. Research from McKinsey, Gartner, ...

Delivering global data governance and compliance is crucial for financial institutions. Unfortunately, there are many in this sector that aren’t as rigorous at implementing it as effectively as they ...