Data Analytics Models for Loan Treatment
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Accused Products
Abstract
Data analytics are provided in loan treatment. Various sources of data may be used to optimize or predict value for a loan. Using machine-learning and/or statistical analysis, loans or treatment best suited for a particular borrower may be determined. Due to the large amounts of data available, borrower behavior may be learned from previous behavior of others and mapped to a predictive model. Machine-learning indicates the most relevant factors in loan treatment, providing a matrix for predicting loan value or treatment success. A given borrower may be classified into one of many classes of borrower based on credit information, property information, desired loan information, real estate market information, and/or other data. Tens, hundreds, or even thousands of variables may be used to predict the optimum treatment.
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Citations
31 Claims
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1-11. -11. (canceled)
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12. A system for data analytics in loan treatment, the system comprising:
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an input configured to receive credit report information for a person associated with a loan, property information for a specific property associated with the loan, loan information for the loan, and real estate market information for a region including the specific property, wherein the real estate market information includes a time on market for a region associated with the specific property, and wherein the property information includes a property value, equity, or open lien amount; a processor configured to apply a model, the model comprising a machine-learned classifier configured to output a loan treatment recommendation for a borrower of the loan, the processor configured to apply the model as a function of the credit report information, the property information, the loan information, and the real estate market information; and an output configured to output the loan treatment recommendation. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A non-transitory computer readable storage medium comprising instructions executable by a computer system that includes a data processor and is connected to at least one data repository, the instructions comprising:
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accessing, by the computer system from the at least one data repository through a first communication channel, credit report information for a person associated with a loan, property information for a specific property associated with the loan, loan information for the loan, and real estate market information for a region including the specific property, wherein the real estate market information includes a time on market for a region associated with the specific property, and wherein the property information includes a property value, equity, or open lien amount; applying, by the data processor of the computer system, a model, the model comprising a machine-learned classifier configured to output a loan treatment recommendation for a borrower of the loan, the data processor configured to apply the model as a function of the credit report information, the property information, the loan information, and the real estate market information; and outputting, by the data processor of the computer system and through a second communication channel, the loan treatment recommendation. - View Dependent Claims (24, 25, 26, 27)
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28. A computer-implemented method comprising:
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accessing, by a computer system from at least one data repository through a first communication channel, credit report information for a person associated with a loan, property information for a specific property associated with the loan, loan information for the loan, and real estate market information for a region including the specific property, wherein the real estate market information includes a time on market for a region associated with the specific property, and wherein the property information includes a property value, equity, or open lien amount; applying, by a data processor of the computer system, a model, the model comprising a machine-learned classifier configured to output a loan treatment recommendation for a borrower of the loan, the data processor configured to apply the model as a function of the credit report information, the property information, the loan information, and the real estate market information; and outputting through a second communication channel the loan treatment recommendation. - View Dependent Claims (29, 30, 31)
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Specification