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Loan Credit Risk with SQL Server

By using SQL Server 2016 with R Services, a lending institution can make use of predictive analytics to reduce the number of loans they offer to those borrowers most likely to default, thereby increasing the profitability of their loan portfolio.

Loan Credit Risk with SQL ServerИспользуя SQL Server 2016 и службы R Services, кредитное учреждение с помощью прогнозной аналитики может уменьшить количество кредитов, выдаваемых потенциально проблемным заемщикам, и тем самым повысить доходность своего кредитного портфеля.

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Loan Credit Risk with SQL ServerИспользуя SQL Server 2016 и службы R Services, кредитное учреждение с помощью прогнозной аналитики может уменьшить количество кредитов, выдаваемых потенциально проблемным заемщикам, и тем самым повысить доходность своего кредитного портфеля.

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