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 ...

QMetrics is proud to continue its pivotal role as the official Validator for the NCQA's 11th Cohort of the Data ...

NEW YORK--(BUSINESS WIRE)--Marketing Evolution, provider of powerful marketing measurement and optimization solutions, today announced enhancements to its Marketing Measurement and Attribution ...

If you’re involved in quality assurance, which you most likely are or wouldn’t have started reading this article, then you know how important maintaining software quality is—especially in the modern ...

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 ...

At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

Over the last few months, I have heard various experienced and knowledgeable experts state (emphatically no less) totally contradictory opinions regarding quality assurance (QA), quality control (QC), ...

Breakthrough capability reduces review rates from 100% to as low as 10% while maintaining rigorous SLA compliance and 95%+ quality scores SAN FRANCISCO, CA / ACCESS Newswire / October 14, 2025 / Sama, ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

A growing body of research is documenting the value of the electronic health record (EHR) for improving clinical care through alerts, reminders, and other forms of ...