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) ...

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 ...

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. First of all, data quality should always be measured in ...

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 ...

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 ...

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.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

Poor SOC performance can cause burnout, human error, missed threats, & huge financial losses. Here’s what two experts learned from their time in the trenches.