Victor Szczerba

Our model is the very top end.

So if all of a sudden, and by the way, Amazon and Walmart do have software very similar that they've developed for themselves.

They've also taken four or five years and taken tens of millions of dollars to do their own development.

We literally can do exactly the kind of software at that scale that an Amazon or a Walmart can do, right?

And then so the people that we feel are a little bit competitive with us are the guys that are the traditional data warehouses.

Teradata, IBM, HP, right?

And what they do is they do a heck of a lot of consulting on top of that to create kind of custom applications to function like this.

Exactly, which I think is absolutely nuts, right?

And what we found is actually the integration costs when it comes to this specialized data that's inside the enterprise is insane.

kind of like the barrier.

So what we did is we actually created a way to virtualize the data connections.

I know this sounds weird.

I used to run the largest data management company in the world inside of SAP and

This was my bread and butter, and this stuff used to take months and years to get the integration right.

And now with APIs, it's kind of gotten a little bit easier.

But what we've done is we've actually said, you know what, if you're a marketing department, why don't you skip that?

And instead of being up and running in one or two years, we figured out a way to describe the data itself as opposed to fully integrate it.

And we're up and running in two to three weeks at this point when we see a new data set.

I would say it's still a little bit early.

What we know is that it's a very sticky model.