Discover how to achieve business goals by relying on high-quality, robust data In Data Quality: Empowering Businesses with Analytics and AI, veteran data and analytics professional delivers a ...

Atlan, a metadata platform powering data and AI governance, today unveiled at Snowflake’s annual user conference, Snowflake ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Image: Dmitry/Adobe Stock Data ...

As audience data’s importance continues to grow for media buyers and sellers alike, concerns over quality have dramatically increased. In fact, 84% of CEOs worry about the quality of data within ...

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 ...

Unfortunately, businesses often encounter obstacles in the middle stage relating to data quality, which typically is not on the radar of most executives. Poor quality, unusable data is a burden ...

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads.

SCMP reported that Li Hongguang, chairman of the Shenzhen Data Exchange, said in an interview with a local media outlet that data trading faces problems such as the lack of high-quality data and a ...