When recently asked what business priorities are most important to the data management efforts at their organizations, increasing operational efficiency was the top answer given by DBTA subscribers ...

The artificial intelligence-powered data quality startup Soda Data NV said today it has closed on a new $14 million funding round, despite claiming it has already achieved financial self-sufficiency ...

Decisions anchored in data can help organizations compete, scale and avoid risk, but only if teams verify the integrity of the data feeding analytics or AI systems before models are trained or ...

As organizations scale AI-driven decision support, the quality of the inputs will increasingly determine the quality of the ...

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.

Naresh Erukulla explains how robust data engineering and AI orchestration at Macy's enhance retail forecasting, saving USD ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

A federal watchdog flagged this week that nearly three dozen federal agencies did not consistently certify their procurement data as required, raising concerns about oversight of federal contract ...

The push for expanded use of wearable devices and wider data collection in healthcare, at first glance, appears to be a logical next step for the industry. Though slow to adapt at first, healthcare ...

The NCC has launched a competition review following recent increases in telecom tariffs, even as consumers continue to report ...

As the saying goes, you can't improve what you don't measure. To ensure that data is flowing properly through various pipelines, processes, and workflows -- and that data is accurate, consistent, and ...