Bob Moore

And it took us from a world where we were trying to sell to every company that sold anything on the internet, down, down, down, down, down, down, down to like specialty retail by the time we ended up selling the company.

And look, that's a big vertical, but it was not a multi-billion dollar outcome.

Yeah, I think we were, the ARR was a couple million bucks higher by the time we sold it.

But yeah, that's that's kind of the ballpark.

Yeah, yeah.

Yeah, yeah, yeah.

I would say a classic base hit.

Didn't knock it out of the park, but we were happy with the outcome.

Yeah, so if you think about that stack I was talking about before, so we had the data pipelines, we had the data warehouse, and then we had the cool charts and graphs.

When the data warehousing industry shifted, what we had were kind of like the two other ends of the thing.

And one of them was this really cool data pipeline infrastructure that if you think about what data pipelines are at their core, it's really just a way to get data out of certain systems and placed into other locations in a way that scales where the end customer doesn't have to worry about

rewriting a script every time somebody's API changes.

We built a system that allowed us to support that kind of data connectivity for dozens and dozens and dozens of SaaS tools.

And when we sold to Magento, they weren't particularly interested in getting data from dozens and dozens of SaaS tools nearly as much as they were about getting data from Magento.

We became Magento business intelligence there and

really focused in on helping Magento customers get better analytics out of their e-commerce data.

So we had this leftover piece of technology that was the data pipeline stuff.

Yeah, it's a great... I mean, the fact that Talend was the acquirer is a really great kind of proxy for that, which is kind of in that data integrations universe.

So

Making the plumbing that allows all of your cloud-connected systems and on-premise systems to talk to each other, to have data parity be correct, and to help your analytics have data flowing in the right places at the right time.