1) Instead of finding one superhero, create many heroes. 2) Break roles down by implementation, research, and knowledge.
- Having a data science mindset…is both an organizational and cultural challenge.…As I've illustrated, it's not as simple…as hiring a few data scientists.…You want your entire organization…to think about your data in creative and interesting ways.…Data analysts will help you analyze your data,…but they may not be the best source of insights.…Instead, think about data science as a team endeavor.…Small groups of people with different backgrounds…experimenting with your data to find new insights.…
That's the scientific method in data science.…It's an empirical process of exploration.…You ask good questions, gather evidence,…and try to draw conclusions.…Instead of finding a few people who can do everything,…work with your existing people who can do most things.…One model that I think works well…is breaking down your data science team into three roles.…These three roles are data analysts,…a research lead, and a project manager.…
I've seen these three roles at different organizations.…They may have different names,…
Learn the holistic approach to building teams and deploying data science across disciplines. Identify the key roles and responsibilities, including research lead, data analyst, and project manager. Find out how to define areas of responsibility, foster effective communication, and build compelling reports and visualizations. Then see how to avoid the pitfalls of losing focus and arriving at false consensus. These techniques help you build highly skilled teams that produce deeper insights than you'll find from relying on data scientists alone.
- Creating a data-driven culture
- Defining team roles and areas of responsibility
- Finding wisdom in groups
- Presenting beautiful reports
- Thinking like a team
- Avoiding pitfalls