1) The team creates organizational knowledge. 2) Gather new questions for the explorer.
- One of the biggest challenges for your data science team…is getting access to all your organization's data.…This is one of the core responsibilities…of your project manager.…They'll work to get access to the dusty old servers…in every corner of your organization.…It's not uncommon for organizations…to have different databases for each department.…There might not be that much shared information.…Each department might have their own…data analysts, manager, and database engineer.…They'll know about their data challenges,…but not that much about other parts of the organization.…
This is often called a problem of data silos.…The term is from agriculture.…Farmers typically store seasonal grains…in a tall building called a silo.…If you've ever seen one,…then you'll probably notice that…they're standalone buildings.…Each one stores their own grain,…but there's usually no connection between the two.…It's the same with organizational data.…Each department stores bits of data…and it isn't mixed with other departments.…Data silos exist for a good reason.…
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