The amount of data generated by learners during online training is immense. What was the trainees' equipment? How long did they stay on a resource? Did they go all the way to the end? Did they click ...

When it comes to collecting and analyzing data, many biopharma companies are still in the digital dark ages. They process data using tools such as Microsoft Excel, which has a lot of capabilities but ...

Open-source intelligence (OSINT), as defined by the SANS Institute, refers to the process of producing intelligence through collecting, evaluating and analyzing publicly available information. This is ...

Data-driven decisions are increasingly recognized as a critical component of K-12 education, enhancing personalized learning, improving assessment and feedback, optimizing resource allocation and ...

Peter Drucker's famous leadership adage states, "You can't manage what you don't measure." In today's world, where competition is higher than ever, with more resources, processes and people to manage, ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data. Colleges and universities are investing heavily in data science ...

Successful modern manufacturing means making the most of cutting-edge technologies. One advance that has reshaped manufacturing practices is the incorporation of data analytics. Data analytics unlocks ...

Collecting data on embedded emissions in imports offers a broader and more accurate picture of a country’s carbon footprint, enables informed climate policies, and—with some carrots and sticks—can ...