Day 3 — Thinking about thinking
- Visualization — graph, maps, design elements
- Strategy — is our data valuable ?
- Problem orientation — Staying focused on the problem
- Correlation — a relationship — hair/shampoo.
correlation does not mean causation — just because they are related doesn’t mean it is the root cause.
5. Big picture and Detail Oriented thinking —BP: Zoom out to see opportunities. DO: consider specifics
It’s important to think in different ways because the problems will never be right in front of you.
Questions data analyst ask:
What is the root cause of the problem?
The 5 whys — asking why 5 times diving deeper each time.
Where are the gaps in our process?
Gap analysis — examine and eval how process works currently in order to get where you want to be in the future.
What did we not consider before?
Data Driven Decision Making
Gives one confidence in their decision making.
Makes you more proactive.
Instincts are important — but need technical approach.
Data design need to be easy to understand so the team can all be on the same page. If you make decisions informed by data, you are more likely to make informed decisions.
Data strategy — sets you a path to the solution.
