Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...

In today’s data-driven world, data quality assurance (DQA) is essential for organizations aiming to make informed decisions. High-quality data must be accurate, consistent, and reliable. Traditional ...

Data analysis is a fundamental part of the world we live in today, responsible for driving any number of important business decisions, so ensuring data quality is of paramount importance. Yet, too ...

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 ...

Have you ever wondered how to bring fairness to the classroom using "data validation" and "data quality assurance"? We've developed an exciting toolset, built on the foundation of the Peer Review ...

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, ...

Founded in 2019, Quality Match focuses on data quality assurance for computer vision and artificial intelligence.

Creating high quality products keeps your customers loyal and your employees engaged. You can create a quality assurance program by defining standards and outlining the steps necessary to achieve them ...