Using healthcare data to identify vulnerabilities to patient safety helps inform organizational decision-making, leading to changes that create better patient outcomes. However, data is often siloed, ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Tired of struggling with pivot tables every time you need to summarize your data in Excel? You’re in luck! Excel’s new GROUPBY and PIVOTBY functions are here to make your life easier. These powerful ...

When working with address data, you may encounter situations where you need to merge multiple columns, such as address, town, and postcode, into a single column. Power Query makes this task a breeze.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise IT departments and the data scientists in them use a variety ...

A comprehensive data revision shows the amount of pandemic-era excess savings still available in the U.S. economy may be larger than previously estimated—and is likely to last into the first half of ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Finding liquidity in the global fixed income markets can be a challenge, and one that is compounded by volatility and uncertainty. The reliance on over-the-counter (OTC) markets requires users to ...

In the humanitarian aid community, research methods have traditionally skewed toward the qualitative: Participant interviews, focus groups, and field surveys have been the predominant tools ...

In today’s chaotic world, professional intelligence analysts must contend with nearly endless data streams, which risk overwhelming them while also exacerbating the impact of cognitive biases. Is AI ...