Kanban

Posted on
managing data science with kanban

What is Kanban? Kanban, which literally means billboard in Japanese, started as a supply chain and inventory control system for Toyota manufacturing in the 1940s to minimize work in progress and to match the supply of automotive parts with demand. Kanban Popularity Other industries including software have since adopted Kanban. It is becoming more popular […]

Scrum for Data Science

Posted on
managing data science with scrum

Scrum for Data Science Given Scrum’s popularity with software teams, it’s no surprise that many organizations are turning to Scrum for data science product development. But, Does Scrum work for Data Science? Well…results vary. So we’ll start by defining Scrum, then identify Scrum’s use in data science, evaluate its pros and cons, and finally dive […]

Agile Data Science

Posted on
data driven scrum

Agile Data Science Do you think data science should be agile? When framing agility in the context of delivering usable insights frequently, iterating on these insights, and validating the outcomes, I think all of us would say “yes”. Yet, how do we achieve this? Even more basic, what does agile data science even mean? The […]