Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

Processed data underlie the analysis, but raw data let other researchers test your assumptions and processing strategies. That said, raw data sets can be unwieldy and expensive to store.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

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 ...

Knowing how to train an artificial intelligence (AI) model—essentially, making sure it learns the right patterns from the right data—is important if you want it to make accurate and reliable ...

I recommend insisting on actual data, not just an estimate. And always remember that adopting the right data management system quickly may be the most important step to make your enterprise AI-ready.

The DEAR model—which is an acronym for define, establish, analyze and realize—is a four-phase, data-driven methodology for improving decision making in a company.

Learn how to visualize data in Excel with charts, pivot tables, and tools like Quick Analysis. Transform raw data into actionable insights ...

Of all the hurdles researchers face when analysing patient data, the most intimidating might be the sheer volume of information they need to sift through. A hospital can generate millions of data ...