Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Read the full story. —James Temple We’re learning more about what weight-loss drugs do to the body Weight-loss drugs are this decade’s blockbuster medicines.

How we think about protecting data A new study shows public views on data privacy vary according to how the data are used, who benefits, and other conditions Date: May 14, 2025 Source ...

But the “good” vs “bad” data debate is more subtle than we think. Clean data is good—but not all bad data is bad. In fact, some of it may be essential.

OneDrive has become a must-have in my Excel workflow. First of all, being a Microsoft 365 subscriber, I receive 1TB of OneDrive storage with my plan. It’s more than sufficient for my media, documents, ...

Whether you’re working with sales data, employee performance metrics, or customer insights, Python in Excel offers a smarter, more efficient way to handle external data.

It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches.

Forget about the mop and bucket, spring cleaning also applies to your digital devices.

Python: Python, with libraries like pandas, offers extensive functionality for data cleaning and manipulation. However, it requires users to write and debug code, which can be time-consuming.

In this article, we’ll explain how R&D leaders can use data clean rooms to accelerate research and innovation. But first, a closer look at healthcare’s data challenge.

Why retractions data could be a powerful tool for cleaning up science A Nature analysis of retractions hotspots around the world suggests institutions should pay close attention to retractions data.

The Gemini side panel in Google Sheets is being updated to let you more easily visualize and analyze data through insights and charts.