Data science involves utilizing data to solve business problems. Insights from business data help organizations make data-driven decisions and make new policies based on evidence. In addition to this, data can also help product companies build sophisticated Artificial Intelligence (AI) features to enhance user experience that drives revenue and growth. Business agility is very important in the data science landscape as technology toolkit is evolving rapidly and competitors are innovating quickly to solve customer pain points.
This talk covers aspects of how to implement Agile practices in data science teams and pivot quickly based on the volatile business market conditions.
Key takeaways
Importance of core principles in Scrum
Tradeoffs between “getting things done” vs “pivoting”
Importance of “Flow” (Theory of Constraints)
Relationship between Porter’s Five forces model and Agile
Tips from our learnings
- Date:29/07/2023
- Time:11:10
- Event:Business Agility Day @Coimbatore
