What Before Why
A question I often ask my colleagues who are experts in data science is based on the hypothetical situation as follows: let’s suppose that when it rains, people drink more cappuccinos. Now, if a coffee shop knew this, it could advertise or promote cappuccinos every time it rained. It could even launch branded umbrellas as a themed promotion. But how would it discover this? Historically, the story would be one of a smart store manager who one day realizes that rainy days increases his cappuccino sales, and having defined the premise, starts to collect the data to validate his hypothesis. Or even more traditionally, a major coffee shop brand runs focused groups, and the link between weather and coffee preferences ...
Get Doing Digital now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
