Unlocking Agile's Power in the World of Data Science

In this episode of the "Agile Mentors" podcast, I discuss integrating Agile and Scrum practices in the world of data science.

Tune in to gain insight into the importance of feedback, the stages of the SAS Enterprise Miner initiative, and how frameworks like OSEMN can enhance the data science process.

Listen in to learn how to strike the right balance between technical knowledge and product ownership and why culture is crucial in successful Agile implementation within the data science domain.

References and resources mentioned in the show:

Data Science Process Alliance
CRISP-DM
OSEMN
Scrum and Data Science
Agile Mentors Blog Topic: Decision Science - What methodology fits best?

Join us at our next live session!

Want to learn more about how to incorporate these ideas into your processes? Join us at one of our live sessions to explore the uses and logistics of the the process.

Register

Related Articles

Agile and Data Science: A Symbiotic Relationship?

Agile, with its emphasis on iterative development, collaboration, and responding to change, have become the gold standard in software development. Data science, on the other hand, is a field dedicated to extracting insights from complex and unstructured data. On the surface, they seem like two distinct worlds. However, there's a...

Read More