The typical all-source intelligence analyst must generate products that result from the fusion and correlation of structured and unstructured text reporting with sensor and imagery data sources. This ...

Aggregation techniques provide a means to summarise complex, high-dimensional datasets into reduced representations that retain essential information. In multidimensional contexts, data points often ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

On this second episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk, managing principal and global head of Ropes & Gray’s advanced ...

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 ...

The Coin Cell Differential Scanning Calorimeter (DSC), designed to transform battery safety testing, enables direct testing ...

Your source for the news, opinions, and reader reaction on the industry’s hottest controversy. Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed. Working with relational databases, we ...

In his 2005 book, The World is Flat: A Brief History of the Twenty-First Century, Thomas Friedman talked about globalization and a level playing field. Globalization, fading geographical boundaries ...

Have you ever stared at a massive spreadsheet, unsure how to turn that sea of numbers into something meaningful? You’re not alone. Despite Excel being one of the most widely used tools in the world, ...

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...