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.

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 ...

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) ...

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, ...

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 ...

For clients, data quality is fast becoming a pressing issue. Some are starting to take a tougher approach. Liam Kay-McClean examines some of the key questions. In the conversation around data quality ...