The first step in any data problem is to identify what it is you want to figure out. This is referred to as ideation, of coming up with an idea of what we want to do and prove. Ideation generally relates to hypothesizing about patterns in data that can be used to make intelligent decisions.
These decisions are often within the context of a business, but also within other disciplines such as the sciences and research. The in-vogue thing right now is understanding the operations of businesses, as there are often copious amounts of money to be made in understanding data.
But what kinds of decision are we typically looking to make? The following are several questions for which answers are commonly asked:
- Why did something happen?