The Data Stack Show - The PRQL: Business Intelligence and Product Analytics With Vijay Ganesan, Co-Founder and CEO at NetSpring.io

Episode Date: March 13, 2023

In this bonus episode, Eric and Kostas preview their upcoming conversation with Vijay Ganesan of NetSpring.io.

Welcome to the Data Stack Show prequel, where we replay a snippet from the show we just recorded. Kostas, are you ready to give people a sneak peek? I am, of course. Let's do it. Let's do it. Kostas, I think probably the most helpful thing for me was thinking about these tool sets in a way that was just really helpful. And I said towards the beginning that it was surprising that he described the world of BI, business intelligence, as mature when they started ThoughtSpot in 2012.

Because he referenced things like business objects, right? And if you've ever worked at a company or with a company who is using business objects, it just feels so antiquated compared to sort of a modern product analytics tool. But I love the perspective of history, right? And that what he said was true. There was no analysis that was impossible once that level of BI came to fruition with Oracle's BI solution. You could do whatever you want. It was just a time and cost and difficulty question. So thinking through those phases of BI was helpful. And then then yeah, the same for product analytics. So we'll see how how much AI takes over the world of, you know, whatever features

are built in the future. Yeah, a hundred percent. I think we are, we are doing to see another, at least another wave of like BI analytics, like analytics, BI tools that's okay. They are not like primarily driven by AI. Before that happens, there's still like, I think, and we see that we have like companies here that we recorded episodes with them that they're still like, okay, providing like new ways to visualize and interact with the data.

I mean, I think it's time to see like more innovation in this space. And there are like things that have started like changing. Like we see like what is happening with Tableau, for example, right? So we'll see. I'm very, I'm very curious to see what other companies will appear in the next couple of months around the more traditional side of data analytics with SSBI. And also, I think we will start probably seeing like more, you know, like specialized analytical

tools, like for product analytics, for example, right? But a new iteration of these that's going to be leveraging, let's say, the new data infrastructure out there with the cloud data warehouses, let's say, the new data infrastructure out there with the cloud data warehouses, the data lakes, the lake houses, blah, blah, blah, all that stuff, right? So we'll see. I think that we're going to see more tools like this. That's why it was a very interesting chat today.

I think it's a glimpse of what we'll see in the future. I agree. All right. Well, thank you for joining us. Subscribe if you haven't, tell a friend, and we will catch you on the next one.