***** To join INSNA, visit http://www.insna.org *****
Waldo, I passed your query on to Scott Loftesness
who is a 30+ yr veteran of the credit card industry
and a consultant in the payments industry. Here's
his reply. thanks Ed
Begin forwarded message:
> From: Scott Loftesness - Glenbrook <[log in to unmask]>
> Date: March 18, 2006 11:57:08 AM GMT-05:00
> To: Edward Vielmetti <[log in to unmask]>
> Subject: Re: Credit card data
> Thanks for your email.
> I think in the current climate this kind of data would be hard to
> get unless he could do this as some sort of project where there'd
> be useful output to the data provider in terms of new insights, etc.
> On Mar 17, 2006, at 2:23 PM, Edward Vielmetti wrote:
>> Scott - this academic query showed up on a mailing list I'm
>> on. I figured you would know the answer (or know someone
>> who would) - I don't know how much payment processors
>> do large scale space-time modeling of card holders though
>> I'm sure the results would be enlightening.
>> (ex FVHI)
>> Begin forwarded message:
>>> From: Felipe Albertao <[log in to unmask]>
>>> Date: March 17, 2006 4:52:21 PM GMT-05:00
>>> To: [log in to unmask]
>>> Subject: Re: Credit card data
>>> Reply-To: [log in to unmask]
>>> ***** To join INSNA, visit http://www.insna.org *****
>>> Hello Waldo,
>>> Credit card companies definitely have this info (location, and
>>> date/time of use). However, I'm almost sure they won't provide
>>> you that information due to security and privacy concerns.
>>> Not knowing enough about your research, I would suggest you to
>>> individuals who are willing to open a bank account for the
>>> purposes of your research. With that, you could then download the
>>> usage data from their accounts using Quicken or another banking
>>> software. Washington Mutual (for example) provides the address
>>> where the debit card was used.
>>> On 3/17/06, Waldo Tobler <[log in to unmask]> wrote:
>>>> ***** To join INSNA, visit http://www.insna.org *****
>>>> Hi all,
>>>> In conjunction with a space-time modeling effort we are looking
>>>> for data
>>>> of the following form:
>>>> For a large number of credit cards we would, ideally, like the
>>>> information individual cards:
>>>> For each uses of a specific credit card: all of the locations
>>>> (zip code
>>>> or better) at every time of use (day or better). Data over a
>>>> year would
>>>> be quite useful.
>>>> That is for a large sample, trace the space-time paths of
>>>> cards (if one person uses more than one card, combine these data).
>>>> Individuals need not be identified.
>>>> Can anyone suggest such a data source?
>>>> Thanks to all
>>>> Waldo Tobler
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