The Data Stack Show - The PRQL: Bridging the Gap Between Messy Data and Sophisticated Analytics with Jay Henderson of Alteryx

Episode Date: January 15, 2024

In this bonus episode, Eric and Kostas preview their upcoming conversation with Jay Henderson of Alteryx. ...

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Starting point is 00:00:00 Welcome to the Data Stack Show prequel. This is a short bonus episode where we preview the upcoming show. You'll get to meet our guest and hear about the topics we're going to cover. If they're interesting to you, you can catch the full-length show when it drops on Wednesday. We're here with Jay Henderson from Alteryx. Jay, welcome to the Data Stack Show. We are thrilled to have you on. Hey, Eric.
Starting point is 00:00:29 Great to be here. All right. Well, give us a quick background and then tell us what you do today at Alteryx. Yeah. Hey, everybody. Really great to be on the show. I'm the SVP of products here at Alteryx. I lead product design and strategy across all of the different Alteryx products.
Starting point is 00:00:48 I've got 20 years of product experience at mostly analytics companies. Before this, I was at IBM and I ran the Watson marketing division. I worked at SPSS, predictive analytics company, Clear Forest, a text mining company. So really spent my whole career in the analytics space being a product guy. And so pretty excited to talk you guys through some of the things we've got going on here at Alteryx and to talk about analytics and what's happening today and some of the things that are coming in the future. That's awesome. By the way, Jay, one of the ways that I think about Alteryx is that it's kind of like one of the most successful examples of a tool or a product that's no-code or low-code, right?
Starting point is 00:01:33 As we call it today. But AlterX has been doing this for a while. And I think it's a great opportunity for us to get deeper into that. Why we need that, how it plays well or doesn't play well, maybe, we'll see with other tools out there. And those are what the future looks like in the AI world, where it's probably kind of like the definition of no code at the end. You don't even have to type, let's say. You can speak to your assistant there and do something magically. And I think we have the right person here today to talk about these things. So I'm really excited about it.
Starting point is 00:02:18 But how about you? What's in your mind? And what are a few topics that you'd like to go deeper into today? Yeah, I mean, I think you said it. I think no-code analytics will be really fun to talk about, particularly as a way to democratize analytics to hundreds or thousands or tens of thousands of people in your organization. The scale can get really interesting and really impressive. I'm also really interested in talking a little bit about how analytics can be a team sport and how the different people doing different types of analytics maybe can work together. And then I'd love to dig in a little bit around generative AI and some of the exciting things that are coming down the pike based on all of the crazy new algorithms that seem to be getting updated on a pretty regular basis here.
Starting point is 00:03:09 That's awesome. What do you think, Eric? I think we should go and start talking. What do you think? Let's do it. Let's dig in. All right, that's a wrap for the prequel. The full-length episode will drop Wednesday morning. Subscribe now so you don't miss it.

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