Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

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 ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

This is a VB Lab Insights article presented by Capital One. AI offers transformative potential, but unlocking its value requires strong data management. AI builds on ...

The British government has launched a framework for data quality management, which uses principles and approaches to help people better manage data quality. This week the British government has ...

A manufacturing plant produces more than just goods. It’s also a data factory. Every asset, product, process and system on the plant floor creates and contributes to a staggering volume of data. One ...

Are you following this checklist of best practices for safe data collection and use? The Consortium for School Networking and the Data Quality Campaign have released a new set of 10 principles to help ...