Realize the potential of medical imaging data: how Enlitic's data quality solutions drive optimization.

Analyst Robert Kramer continues his series on enterprise data technology with a detailed discussion of why data quality is so important, and how companies can achieve it.

A blueprint to make data flow efficiently and responsibly between stakeholders, using real-world education policy examples.

Explore why healthcare quality is crucial for everyone, not just those who are currently ill. This opinion piece delves into ...

In today's data-driven business world, ensuring the accuracy, consistency, and reliability of data is crucial for making informed decisions and driving growth. Latest research from Experian found ...

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

A new policy review published in The Lancet Oncology and led by Ian Tannock and Madeline Pe, together with an international ...

In February, Informatica issued a report that found data quality to be the number one issue preventing companies from succeeding with generative AI (GenAI) initiatives. A pair of data observability ...

AI needs fuel - why high-quality third-party data is key to smarter, real-time personalization.

Overarchingly, data integrity is massively important as it enables organizations to avoid costly consequences, make better decisions, implement more reliable processes and reduce compliance issues.

With the known negative impacts of air pollution on health, especially in patients with respiratory diseases/conditions, lacking local air quality and pollution data can be detrimental to an ...