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.

Data teams tasked with measuring ROI embody both an illuminating and critical aspect of driving positive business outcomes; though applicable to a variety of moving parts operating within an ...

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 is the key to AI-driven efficiency and compliance in construction. Industry-wide action is needed.

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, ...

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 ...

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 ...

We all want to think that our doctor learns from the experience of other doctors. But, as patients ourselves, we know that healthcare is complex and not always efficient. Individual doctors learn from ...

Understandably, the need for clearly defined accountable care organization clinical outcomes criteria has led to industry-wide interpretation. But while stakeholder interest lies in shared savings and ...