Quality metrics are an objective, verifiable number. Unlike subjective data, the number is both quantifiable and can be confirmed. The potential downside to quality metrics is that the data may be ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

The EDM Council has successfully completed its first data quality metrics pilot designed to help financial institutions create a fact- based data quality baseline in support of the business case for i ...

The National Committee for Quality Assurance is adding metrics to the Healthcare Effective Data and Information Set to track how well insurers address health disparities. The update adds some race and ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Today, Atropos Health, a pioneer in translating real-world clinical data into personalized, real-world evidence and insights, published a whitepaper outlining how ...

Data observability platform provider Bigeye introduced a new product this week, Metadata Metrics. Bigeye says it provides instant data observability for an entire data warehouse allowing for fast ...

AUSTIN, Texas, Jan. 25, 2024 — data.world, the data catalog platform company, has announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement ...

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 the value-based care reimbursement environment grows, there is an increasing interest in linking additional physician compensation to the achievement of quality outcomes as measured by certain ...