Several factors, like consistency, accuracy, and validity, contribute to data quality. When left unchecked, businesses that utilize inconsistent, inaccurate, or invalidated data can lead to poor ...

Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Gartner released its new Magic Quadrant for Data Quality earlier this month, with SAS/DataFlux, Informatica, Trillium Software, SAP and IBM placing in the leader’s quadrant. But after talking to data ...

The marketplace depicted in this year's "Magic Quadrant for Data Quality Tools" from industry research firm Gartner presents little upheaval from last year's results -- the same five companies are ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Explore the top data governance tools of 2025 designed to enhance data security, compliance and management. Data governance tools help organizations manage governance programs. Specifically, they help ...

Data quality — the practice of testing and ensuring that the data and data sets you are using are what you expect them to be — has become a key component in the world of data science. Data may be the ...

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 ...

Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...