Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

In the last year, there has been a lot of focus on data management maturity, with industry association the EDM Council and the Software Engineering Institute (SEI) of Carnegie Mellon University ...

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 ...

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.

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach. Software asset management (SAM) ...

The growing relevance of data quality has revealed the need for adequate measurement since quantifying data quality is essential for planning quality measures in an economic manner. This paper ...

Firms are increasingly starting to measure data quality downstream as data management programs are maturing, officials tell Inside Reference Data. Data quality has traditionally been measured in the ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Less than 2 decades after publication of the National Academy of Medicine's (formerly the Institute of Medicine) Crossing the Quality Chasm: A New Health System for the 21st Century, quality ...

eSyM: An Electronic Health Record–Integrated Patient-Reported Outcomes–Based Cancer Symptom Management Program Used by Six Diverse Health Systems The Medicare Access and CHIP Reauthorization Act of ...