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

Eric Dodds 00:05
Welcome to The Data Stack Show prequel where we replay a snippet from the show we just recorded. Costas. Are you ready to give people a sneak peek? Kostas, I think probably the most helpful thing for me was thinking about these tool sets in ways 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, right? Because he referenced things like business objects, right. And, you know, if you’ve ever worked at a company, or with a company, who is using business objects, just feels so antiquated compared to, you know, sort of a modern product analytics tool. But, you know, I’d love the perspective of history. Right? And that what he said was true, like, there was no analysis that was impossible. Once, you know, sort of that level of BI, came to fruition, you know, with, you know, sort of Oracle’s BI solution, you could do whatever you want, it was just sort of a time and cost and difficulty. Question. So, thinking through those phases would be I was helpful. And then, yeah, at the same very product analytics. So we’ll see how, how much AI takes over the world of, you know, whatever features are built.

Kostas Pardalis 01:33
Yeah, in the future. Yeah, 100%, I think we are, we are going 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 the 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 the space and they don’t like things they’ll have started like changing like we see like what this company was Diablo, for example. Right. And so we’ll see. I’m very, very curious to see what other companies will appear in the next couple of months around the more traditional side of data analytics versus bi endorser, 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 it’s going to be leveraging what’s really the new data infrastructure out there with a cloud data warehouse or is the data lakes, the lake houses, blah, blah, blah, all that stuff? Right. So we’ll say I think that we have industry like more tools like these. That’s why it was like very interesting. Today is it’s I think it’s a glimpse of what we’ll see in the future.

Eric Dodds 03:06
All right. Well, thank you for joining us. Subscribe if you haven’t, tell a friend and we’ll catch you on the next one.