1) Too many analysts leads to too much analysis. 2) Analysis for the sake of analysis.
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- One term you might hear with data science is data-driven.…It's a little bit of a tricky term.…We all like to use data to drive our decisions.…If you decide not to eat sushi from a gas station,…then you're using past data to make a good decision.…Even though you may not realize it,…you're being data-driven.…You're using the data to enhance your intuition.…More often than not, your intuition is right,…or at least, half right.…Try not to think of data-driven decision making…as a drop in replacement for your own intuition.…
A data-driven culture uses data to enhance…their team's instinct, and not replace them.…Your data science team will be the starting point…in creating a larger data-driven organization.…It's within this team that you'll start to develop…a deeper relationship with your data.…Try to think of data-driven organizations…as companies with many data science teams.…These teams create a mindset of questions and insight.…They should help the organization not just collect data,…but think about the data in new ways.…
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