Blog

By Kerstin Frailey • March 22, 2019

Too often we assume that good data science translates to effective data science, even though it's untrue. This assumption has killed many would-be successful projects. In this post, Sr. Data Scientist Kerstin Frailey introduces the impact hypothesis, or, how to critically scope and communicate how a project will drive impact. Doing this will transform the way data science drives your business.

By Metis • February 27, 2019

In an excellent new interview conducted by Burtch Works, our Director of Data Science Corporate Training, Michael Galvin, discusses the value of "upskilling" your team, how to improve data literacy skills across your company, and why Python is the programming language of choice for so many.

By Damien Martin • February 20, 2019

Democratizing data means more than just enabling your employees to make queries on the data. It means helping them develop the skills to read graphs, think about relevant scales, and interpret what the data is saying. In this post, Sr. Data Scientist Damien Martin shares how training your team leads to better projects and happier data scientists.

By Kerstin Frailey • January 28, 2019

Curiosity is essential to good data science. It’s one of the most important characteristics to look for in a data scientist and to foster in your data team. Despite that, curiosity is rarely directly managed. In this post, Metis Sr. Data Scientist Kerstin Frailey dives into how you should approach it.

By Brendan Herger • January 23, 2019

The word 'pioneering' is rarely associated with banks, but in a unique move, one Fortune 500 bank had the foresight to create a Machine Learning center that helped keep it from going the way of Blockbuster. Metis Sr. Data Scientist Brendan Herger was fortunate to co-found this center, and in this post, he shares some insights, particularly as they relate to successfully launching a new data science team within your organization.