1) Ask questions independent from the data. 2) Know the business.
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- Albert Einstein was credit with saying,…that if he had an hour to solve a problem…he'd spend the first 55 minutes…trying to find the right question.…Questions are the key to discovery.…That's what makes them essential for a data science team.…Questions will be the most important drivers…for your team's insights.…The key part of science, in data science,…is finding the right question.…Remember that you already have the data.…Your organization is probably collecting more data…than you'll ever use.…
In many ways you've already gathered up the answers.…Now what you have to do is come up with the right question.…For most organizations that's not an easy task.…Most people still work for companies…that still crave answers.…It makes a lot of sense.…Answers in the discussion.…You get out of meetings…and you start to put something into practice.…That's why organizations tend to favor people…who are experts, they supply the answers.…Answers are final and close the discussion.…Questions are open ended.…
A good question can lead to more questions.…
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