Crux intelligence is a Business Intelligence tool that helps its customers make better decisions. The biggest way people consume data is through pictorial representation aka data visualisations. So, I was super excited to get my hands and own the data visualisations at Crux intelligence. As a product we allowed users to analyse any sort of number and be able to find the wheres and whys of said number.
Let’s say you’re a company that sells water bottles. And a specific blue water bottle you sell has completely gone down📉 in sales this month. As somebody that is consuming this information. Just knowing what is happening is not enough. You also want to why it’s happening so you can do something abut it right?
To aid the user do that, Crux had Drivers
What are drivers?
Drivers helps you understand what are the factors due to which your sales went up or down. And Crux uses “correlation” to help you figure out why your sales went up or down. The way it does this is by telling the user how a “factor” is related to your sales. It assigns each factor a score from -1 to +1. The closer the score is to 0, the less related they are. The closer the score is to 1, the more related they are. And the “+” means they’re directly related and “-” means they’re inversely related.
For instance, in this example inflation has a medium negative relation with Sales. Meaning, Sales go down as inflation goes up. And Instagram ads has a high positive relation with Sales. Meaning, Sales go up as you spend more money on Instagram ads
Here’s a graph to explain it better.
But there are some problems with this :
So the solution - Chuck correlation and bring something simpler
Our PMs and data scientists got together and came up with Key driver analysis.
What is Key drivers?