The Data Stack Show - The PRQL: Navigating the World of Data Overload with Travis Henry and Hillary Carpio of Snowflake

Episode Date: November 13, 2023

In this bonus episode, Eric and Kostas preview their upcoming conversation with Travis Henry and Hillary Carpio of Snowflake. ...

Transcript
Discussion (0)
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 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. Welcome back to the Data Stack Show. Costas, today we have a treat. And that's what we're going to talk with some very data-driven people who are not data practitioners or data professionals in their day job. So we're going to talk with Hillary and
Starting point is 00:00:36 Travis, who work at Snowflake on the go-to-market side. Hillary runs their account-based marketing function, which I can't wait to dig into. And then Travis runs their sales development representative function. And after we had Brendan on the show, who talked with us about sort of being a data consumer, we thought, man, we need to get more people on the show. And Brendan introduced us to Travis and Hillary. And they're amazing. Amazing relationship with their data team. Pretty amazing how they developed that relationship. So definitely something for either on the go-to-market side or the data side, definitely a must listen. And I think the things that I'm most interested to dig into are to hear about their views on data. So if you're going to run an account-based marketing
Starting point is 00:01:36 campaign, or you have a sales development representative trying to understand all these data points about an account, on the data side, we send data to those teams often, and then they consume it, but we don't really get to see their consumption of that data. And so I think being able to sort of go over the wall and get more insight into the specific practical things there would be really great. So that's what I want to dig into.
Starting point is 00:02:04 How about you? Yeah, 100%. I think it would be really great. So that's what I want to dig into. How about you? Yeah, 100%. I think we have a very unique opportunity here to hear from practitioners how actually data drives value for them and do that in an organization that does it at scale. And not only that, but we're talking about an organization that's also a vendor, a solution that is used
Starting point is 00:02:33 for that kind of problems. There's some, I think, very unique perspectives here, both in terms of the scale, like how innovative like they are, like in terms of their marketing or like sales, but also how they, in a way, they use what they evangelize out there to sell the product, but they do it like internally, right? So, yes, I think like a very like unique perspective and a very unique opportunity to learn things. If we had someone who was only a vendor or someone who was only a user, I wouldn't be able to do that. So yeah, I think it's going to be a very interesting conversation.
Starting point is 00:03:23 And we'll try to do like a couple of different things with them like obviously like try to learn about how the data is used and why do like a little bit of data modeling maybe like see how you represent all this
Starting point is 00:03:41 information that's marketing and sales need for their day-to-day job and learn a lot about like the people actually, which is also like important. Because it's not just the people we'll be talking about with today, it's also like all the SDRs, so like the marketing people have to execute, right? And they have like to use information rather would like to do their job like effectively. And see how like this can happen like at scale and correctly. So yeah, I think it's going to be like a very interesting conversation. Let's do it. Every data engineer and analyst's dream is live data modeling with a business user. So let's dig in and do it. Yeah, let's do it. It'll be fun.
Starting point is 00:04:24 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.

There aren't comments yet for this episode. Click on any sentence in the transcript to leave a comment.