Combining human insight with technology through human-in-the-loop data quality automation can help improve data reliability and keep processes secure and scalable.

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data.

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make ...

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing unstructured data quality issues, identifying and assessing the data to be used ...

It’s time for the music industry to shift from endless data clean-up to a strategy of quality at the source, and transform data from a liability into a reliable asset. The following comes from Natalie ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and ...

Digital health can improve care, but in Ontario, health data are still fragmented, despite billions of dollars spent over the last two decades to enable fast and secure exchange of health information.

Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professional ...

As more sophisticated AI language models are developed, more quality data is needed for training them. MIT is working to solve this issue.