AI data platform giant Snowflake has made an equity investment in Ataccama, a data governance and quality management tech ...

Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

Although established as a best practice in information management, data quality is a relatively young discipline. Unsurprisingly, its roots began in situations where the data needing to be managed was ...

Many organizations nowadays are struggling with the quality of their data. Data quality (DQ) problems can arise in various ways. Here are common causes of bad data quality: Multiple data sources: ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

BURLINGTON, Mass.--(BUSINESS WIRE)--ETQ, the leading provider of quality management solutions, today announced ETQ Insights™, an analytics solution purpose-built to serve the needs of quality ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...

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 ...

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