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 ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

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.

Successful digital businesses know that it’s important to collect and manage their Big Data needs, but how do they separate the vital data from the incidental? To share some insight on this subject, ...

There exist many opportunities for vendors in the data quality space to create tools that cover a broader scope, yet many of those opportunities remain untapped, according to an analyst. Andy Hayler, ...

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 ...

We are at an inflection point in our efforts to measure the quality of U.S. health care. Most medical professionals accept that rigorous quality measurement is essential to improving care and ...