Systems and Methods to Identify Payment Accounts Having Business Spending Activities
First Claim
1. A computer-implemented method, comprising:
- storing, in a computing apparatus, transaction data of accounts issued by a plurality of issuers;
calculating, by the computing apparatus, values of a first plurality of variables for each of the accounts using the transaction data of the accounts issued by the plurality of issuers, the accounts including first accounts that are issued as accounts for individual consumers and second accounts that are issued as accounts for businesses; and
identifying, by the computing apparatus, a second plurality of variables from the first plurality of variables for a predictive model to distinguish, using the values, the first accounts from the second accounts.
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Abstract
Systems and methods are provided to generate tools to evaluate the probability of an account being actually used by a business rather than an individual. In one aspect, a computing apparatus includes: a data warehouse configured to store transaction data of accounts issued by a plurality of issuers; and at least one processor configured to calculate values of a first plurality of variables for each of the accounts using the transaction data of the accounts issued by the plurality of issuers. The accounts include business accounts and non-business accounts. The at least one processor is further configured to identify a second plurality of variables from the first plurality of variables for a classification model to distinguish, using the values and logistic regression, the business accounts from the non-business accounts.
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Citations
20 Claims
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1. A computer-implemented method, comprising:
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storing, in a computing apparatus, transaction data of accounts issued by a plurality of issuers; calculating, by the computing apparatus, values of a first plurality of variables for each of the accounts using the transaction data of the accounts issued by the plurality of issuers, the accounts including first accounts that are issued as accounts for individual consumers and second accounts that are issued as accounts for businesses; and identifying, by the computing apparatus, a second plurality of variables from the first plurality of variables for a predictive model to distinguish, using the values, the first accounts from the second accounts. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15)
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11. A tangible computer-storage medium storing instructions configured to instruct a computing apparatus to:
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process payment transactions for a plurality of accounts; store transaction data recording the payment transactions for the plurality of accounts; compute a score for each respective account of the accounts based on the transaction data, the score indicative of a probability of the respective account being actually used for business purposes; and provide the score to an issuer of the respective account to determine whether to provide an offer to a user of the respective account. - View Dependent Claims (16, 17)
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18. A computing apparatus, comprising:
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a data warehouse configured to store first transaction data recording payment transactions processed for a plurality of accounts; a memory storing model data derived from second transaction data of accounts issued by a plurality of issuers; and at least one processor coupled with the memory and the data warehouse and configured to compute a score for each respective account of the plurality of accounts using the first transaction data and the model data, wherein the model data is configured to provide a predicted probability of the respective account being actually used by a business entity as a logistic function of the score. - View Dependent Claims (19, 20)
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Specification