Coordination Framework

3 Steps to Define a Data Science Process

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How do you effectively define a data science process? Conceptually, a data science process explains and defines how a team should execute a project. Having a robust, repeatable process helps to ensure that the project efficiently and effectively delivers actionable insight. In this article, I’ll explore how to create a well-defined data science process in […]

Coordination Framework

10 Ways to Manage a Data Science Project – Part IV: Emerging Approaches

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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.

Agile

Agile Data Science With Data Driven Scrum

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Data Driven Scrum

The Need for a New Agile Framework When teams try to use an agile framework for data science, they often try to use Scrum, Kanban. Below I review the key challenges teams have in leveraging these frameworks have challenges. I also briefly explore a TDSP, which is newer framework already discussed on this web site. […]