Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...

Excel's text functions, such as TRIM, UPPER, LOWER, and PROPER, can be used to clean up textual data. TRIM removes extra ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

You can remove duplicates in Excel in a few steps. Duplicates can create problems when you're dealing with data.

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Cleanliness took on a new meaning at the beginning of the pandemic.