Yes, it's a great question. It's really all of the above. We have a relationships all over the globe with the BNPL players. As you know, they're growing rapidly. We're selling them identity data, think Kount or other identity because you got to verify a consumer before you offer that for payment loan, for the blue jeans or whatever they're buying. We're also selling them some credit data in different markets, including the United States, particularly as they go to bigger-ticket transactions. If you're financing a pair of blue jeans for $100, over four-payments, there's a credit exposure to that. It's very different than you're doing a refrigerator. That's a $1,000 refrigerator or something. And so there's a trend there where you're seeing more credit data being used for BNPL players as customers. On the data side, it really follows our focus on just building out our data assets. And there are a lot of data elements, as you point out, in BNPL players. And actually, with all credit fans, it's very popular, for example, with millennials, which typically have thinner credit files. They may be good credit, but they have thin credit files. Meaning they only have one bank card or two bank cards or whatever. So that BNPL data will be very valuable. We're also going down the path of adding rental data. So we're accumulating rental payment data. That's another valuable asset. And of course, in the alternative data side, meaning outside the credit file, we have really scaled data assets at Equifax that we're putting in our single data fabric and bringing to market as new solutions like our NCTUE cellphone utility payment data, which is very valuable as another trade line for thin or no hit – thin file or no hit customers. And then on the pure alternative data, we bought DataX a couple of years ago in 2018. And then we acquired last year, Teletrack. And we'll now have the largest data set at something like 80 million Americans outside of the credit file their data from rent-to-own companies, their payment data from auto lenders, subprime auto lenders, sales finance companies, furniture companies, payday lenders. So a very, very rich data set that's additive to the credit file, just like this BNPL data, just like our NC+ data, just like rental data. So it's a broad focus for us. And the cloud capabilities we have in the single data fabric really allow us to bring these new data sources into our environment, into our database. And of course, as you know, we have – we've built out and now are adding to our single data fabric where we're going to have data keyed and linked for an individual. Every data element that we have will be put together that way, which is, again, as a part of the benefits of our big cloud investments that we're making.