Agile has taken the software community by storm with Scrum and Kanban leading the way. What are these approaches and do the fit in the world of data science?
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. Other industries including software have since adopted Kanban. Kanban starts with a list of potential […]
There are three key concepts that should be followed within an agile data science effort – use iterations, keep the iteration as small as possible and get feedback on each iteration. In other words, while there are several alternative data science workflow frameworks (sometimes known as data science life cycle frameworks), to achieve agility, agile teams should execute an […]