The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Despite a digital-first world, there’s one thing that’s not going away, and that’s people. While digital transformation has enabled us to do more with less, automate mundane tasks and foster highly ...

This article is part of BD+C's special five-part Technology Report 2014: Top tech tools and trends for AEC professionals. Gregory Janks feels a bit like an impostor at his firm. A self-proclaimed ...

Supply chain leaders increasingly rely on data science to navigate disruptions, optimize operations and drive decisions. Yet data, like crude oil, holds no value unless refined into usable insights.