In the latest round of our ongoing series with the big brain of Corus, Kevin Mabe, Kevin dives into two different variables and how they are potentially working in coordination...or not (da duh dahhhhh scary music) - check it out!
In the latest episode of our ongoing series "Hard Math with Kevin" - our Chief Analytics Officer Kevin Mabe goes through a forecast using our sample time series analysis, and how the addition of a potentially statistically significant variable can change the overall forecast.
Corus is powerful and flexible. While we want your imagination to run wild with how to use it, we’re sharing some examples in our new ‘Use Case’ series to make it easier to get started.
“Can Corus do ____?”
Continuing in our series about our team, meet our "Head of Hard Math" Kevin Mabe!
Note, like many people, Kevin does not like sharing his photo, so we've included this picture of a robot at the computer. Kevin approves, but is concerned that robots are taking over :).
- Tell us a little bit about yourself and your background
The latest episode of our series Hard Math with Kevin showcases the results of our previous sample. We've set up a factor analysis and are now reviewing why our initial intuition yielded the incorrect information. An important perspective on why this type of analysis is so crucial to the decision making process in marketing, product development, and employee interaction.
The follow up to our previous video (see here). Kevin dives a little deeper into why factor analysis is so important, and some of the pitfalls that many people fall into!
If you joined us last week, you’ll remember that we here at Cor.us are testing different ways of improving survey construction, with a focus particularly on completion time. (Here is the link to the previous post if you didn’t see it! Shorter Surveys). In that previous post we looked at respondent’s age as a driver.
If you work with consumer surveys, you’ve probably at some point been told to “keep it simple silly” (or maybe they used a meaner term), and you probably rolled your eyes. Yes, what a wonderful principle, so long as it’s not being leveled at us. Still, there are times in research when simplification is so obviously required that it can be surprising how much disagreement this will provoke.