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 ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

No matter the size or scope of an organization, there is little question that everyone wants to find ways to improve their performance. Baseball teams use sabermetrics; companies often use the stock ...

As artificial intelligence technology continues to improve, more companies have become interested in machine learning—technology that is able to “learn” and adapt to become increasingly adept at ...

Spreadsheets have been the workhorse of data analytics for decades. But progress means change, and data-driven businesses can’t maximize the potential of their technology investments if their ...

Real estate is a massive (and complicated) part of agency operations. Leading-edge analytics help make the most of existing footprints. Rana Lahiri, left, and Mark DeRosa say improved analytics can ...

Data analytics can be a tough topic to teach. There’s no real road map for instructors to follow, and the technology that underlies it can change at a rapid clip. What’s more, students often have ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...