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 ...

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 ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

BLOOMFIELD, N.J., Dec. 10, 2025 /CNW/ - SGS has issued the world's first ISO/IEC 5259-3 certificate to AI Clearing, recognizing its leadership in managing data quality for artificial intelligence (AI) ...

Kore Integrate is the perfect platform to improve Data Quality Management, said Maxwell Dallinga in a recent blog post by Kore Tech. Data quality management is a process to ensure that data is ...

Snowflake Ventures has made a strategic investment in Ataccama, a data governance and quality management tech developer, with plans to continue to leverage integrations between the two companies’ ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Those in the supply chain discipline have always known how much is at stake in logistics management, but the problem has really entered the public consciousness over the last few years. Especially in ...

The clinical trial landscape has witnessed a seismic shift in recent years, spurred by technology-driven data collection methods. With an increasing array of data sources available, technology is ...