Nowadays, the Agile became very famous among software development. Data science is another trending discipline, Many and many more companies try to build and benefit from.
Scrum as methodologies tries to help build a good software in small increments. There are lots of attempts to apply agile software methods to data science, but the results are mostly unsatisfactory.
Based on my experiences, reading, and recent participating a SCRUM training with McGill University, I try to discuss:
- why agile scrum framework is not a good fit for data science project
- the agile concept following data science discipline
- the adaption from the framework
- the minimum viable product in the context of data product