So are there new emerging approaches that are data science native? Microsoft’s Team Data Science Process (TDSP), Domino Data Lab’s Data Science Life Cycle, and the Data Science Process Alliance’s Data Driven Scrum (DDS) are approaches that are both data science native and agile. There are pros and cons specific to each approach but they share some fundamental principles.
When teams try to have a data driven agile approach, they often try to use an existing framework, such as Scrum or Kanban. Yet, there are key challenges teams have in leveraging these frameworks. Therefore, to effectively implement data driven agile projects, the Data Science Process Alliance created an alternative framework called DDS (Data Driven […]
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 […]