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.

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

“What’s our utilization rate?” If you work in corporate real estate, you’ve likely asked or been asked this question. While utilization is an important metric to inform how frequently a space is used, ...

We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...

The business world is highly competitive because many companies offer similar products and services. Businesses often wonder how to gain a competitive advantage. The answer lies in leveraging data and ...

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

Get the latest federal technology news delivered to your inbox. Positioning high-quality data as the foundation of the Department of Defense’s work to scale artificial intelligence technologies across ...

The Personal Information Protection Commission announced on the 22nd that the national task of "Establishing a Personal ...