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 ...

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 ...

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: ...

In Achieving Trusted Data: Data Quality, Data Governance and MDM Trends, one of DBTA's latest webinars, data management experts examined the current best practices and key solutions for modernizing ...

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 ...

As hospitals and health systems accelerate artificial intelligence adoption, industry leaders warn that inaccurate patient ...

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 ...

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 amount of data created annually is expected to more than double between 2022 and 2026, according to IDC. The vast majority of that data will be unstructured, and will jump to more than 221,000 ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

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 ...