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>> Visa prides itself on being everywhere you want to be, but MasterCard is keeping Visa on its toes overseas. How do you build IT systems on a global scale?
>> I think Visa's been doing that for any number of years. We have been a global organization for a long time, competed effectively in this, in this marketplace as have our other competitors. I think that we have a differential advantage with our four high-processing data centers around the globe. We run a single image of our authorization system around the world, which allows us to take that transaction and view all of them at a time. That's what makes advanced authorization so interesting is we're looking not only at a transaction in location A but looking at all transactions as they come into our system and building better models and, and a better approach. So we're making sure that we have that wherever Visa cards are used.
>> You have four data processing centers on three continents. What are the core pieces of technology that you're using to operate those centers?
>> I think you really need to segment into our, our core systems, our -- what some people refer to as legacy systems, and our open systems. I'm going to draw a distinction between them. We have our authorization systems, and so that is when you authorize a transaction, that actually utilized that system. And then we have clearing and settlement where we actually move the funds, we clear the transaction and then move the funds and, and send the, the money to the appropriate parties at that point in time. And then we also have our open systems. We have Visa Resolve Online, which is our chargeback dispute system, back office, if you will, so in the case you do have a transaction you're researching more, you have the ability to go back and look at that. We have our data warehouses as well, to where we can take that transaction and do the research on it or do the modeling, whether it's to build on loyalty or whether it's to do other things and make sure that we have that. So, you know, it's utilizing not only the breadth of the Visa organization but also making sure that we have the appropriate economies of scale in a data warehouse where you don't need to replicate all this in all places, so.
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