Decisions anchored in data can help organizations compete, scale and avoid risk, but only if teams verify the integrity of the data feeding analytics or AI systems before models are trained or ...

The artificial intelligence-powered data quality startup Soda Data NV said today it has closed on a new $14 million funding round, despite claiming it has already achieved financial self-sufficiency ...

As the saying goes, you can't improve what you don't measure. To ensure that data is flowing properly through various pipelines, processes, and workflows -- and that data is accurate, consistent, and ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

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.

As ecommerce platforms continue to automate, the role of data is expanding beyond reporting. AI-driven systems do not simply ...

Electronic Health Records (EHRs) have transformed the landscape of clinical research by providing vast, longitudinal datasets that reflect real-world clinical practice. Their integration into research ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

A federal watchdog flagged this week that nearly three dozen federal agencies did not consistently certify their procurement data as required, raising concerns about oversight of federal contract ...

The Annual Report Card results are in, and the results in quality and reliability reflect the vendors that are most attentive to the fit and finish of their products. The ARC ranks vendors in 18 ...