When I encountered these discrete types of data analysis they made immediate sense to me. I also realized that I spend way too much time on the wrong type of analysis. And I know for a fact that others do, too!
So what are these types of Data Analysis?
- Descriptive analytics: What happened?
- Diagnostic analytics: Why did it happen?
- Predictive analytics: What is likely to happen in the future?
- Prescriptive analytics: What’s the best course of action?
There is a time and place for each. And different methods are appropriate for each category. I can already say that I am looking for results in the 2nd, 3rd, and 4th categories.
Furthermore: When working with an analyst I do not want to the limited by the questions I have. I want to be inspired by the questions the analyst and their team ask themselves. And while I know that understanding is critical I am most keen on seeing understanding being translated into recommendations and outcomes.
So now I know what I am looking for.
So what is the best course of action? You tell me.
There is plenty of writing on this. Here is a post with a stock photo.
As I mentioned, my team is hiring right now. If your calling is UX Research or Design, or if you are an Analyst (more on that one above) reach out. Let's work together! And even if none of those are you or if the roles are filled when you read this: Be in touch anyway. There will be more.