Tableau: Can you tell us a little bit about InsideTrack’s data and what you’re doing with it?
Eric Rynerson, Director of Analytics, Product Management: Well, we have a lot of data. We have a lot of data about students. We have a lot of data about our coaching activity with students. And we have a lot of data about students' progress in school, which is really the point of all the work we do.
And so we needed to be able to really explore the data and really just see what's happening. And that's something that is hard to do with other tools. And so when I found Tableau, it was very clear that I found something that was going to give us a lot of freedom that we wouldn't have and allow us to really get a feel for the data.
Most of our data is on a SQL Server. We also have other sources—everything from Survey Monkey to Salesforce to the usual wild thicket of spreadsheets. We connect to all of it.
One of the big things we want to understand is where is our impact concentrated? And so that feeds everything from day-to-day insights to predictive models that we build. And then we use Tableau as well to make sure that the predictive models are actually scoring students correctly.
Tableau: InsideTrack is using Tableau to share data with educational coaches and others within your company. In your opinion, what’s the benefit of enabling this self-service data exploration?
Eric Rynerson, Director of Analytics, Product Management: I don't want it to just be: Analyst does some work. Analyst tells people about the data. Somebody asks a question—Well, what time can you meet next week? I'll bring some more slides.
(With Tableau) It's—let's just talk about it right now. And then you're going to go and find things out when I'm working on something else. Frankly, you're going to be making progress.