Subject archive for "knowledge-management"


How Your Data Science Team Can Improve Knowledge Management—And Why It Matters

Data scientists often greet the topic of knowledge management with a sense of dread. Some see it as a time-sucking distraction from their “real” jobs; others don’t fully grasp what it means. Even many who see the concept’s value find the process painful.

By Domino Data Lab7 min read

Data Science

Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies describing their product as a “data science platform” without describing the features that make platforms so valuable. So we wanted to share our vision for the core capabilities a platform should have in order for it to be valuable to data science teams.

By Nick Elprin7 min read

Data Science

Ugly Little Bits of the Data Science Process

This morning there was a great conversation on Twitter, kicked off by Hadley Wickham, about one of the ugly little bits of the data science process.

By Eduardo Ariño de la Rubia11 min read

Product Updates

Better Knowledge Management for Data Science Teams

We’re excited to announce a set of big new features that make it easier for you to find and reuse past data science work in your team and organization. We’re calling these features “Discoverability,” and they encompass powerful ways to search, tag, and get recommendations about relevant analytical work.

By Nick Elprin7 min read

Subscribe to the Domino Newsletter

Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.


By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.