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Loan ChargeOff Prediction with Azure HDInsight Spark Clusters

A charged-off loan is a loan where a creditor (usually a lending institution) has declared that an amount of debt is unlikely to be collected, usually when the loan repayment is severely in arrears. Given that high charge-off has a negative impact on lending institutions’ year-end financials, lending institutions often monitor loan charge-off risk very closely to prevent loans from getting charged off. Using Azure HDInsight R Server, a lending institution can leverage machine learning predictive analytics to predict the likelihood of loans getting charged off and run a report on the analytics result stored in HDFS and hive tables.

Loan ChargeOff Prediction with Azure HDInsight Spark ClustersA charged-off loan is a loan where a creditor (usually a lending institution) has declared that an amount of debt is unlikely to be collected, usually when the loan repayment is severely in arrears. Given that high charge-off has a negative impact on lending institutions’ year-end financials, lending institutions often monitor loan charge-off risk very closely to prevent loans from getting charged off. Using Azure HDInsight R Server, a lending institution can leverage machine learning predictive analytics to predict the likelihood of loans getting charged off and run a report on the analytics result stored in HDFS and hive tables.

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Loan ChargeOff Prediction with Azure HDInsight Spark ClustersA charged-off loan is a loan where a creditor (usually a lending institution) has declared that an amount of debt is unlikely to be collected, usually when the loan repayment is severely in arrears. Given that high charge-off has a negative impact on lending institutions’ year-end financials, lending institutions often monitor loan charge-off risk very closely to prevent loans from getting charged off. Using Azure HDInsight R Server, a lending institution can leverage machine learning predictive analytics to predict the likelihood of loans getting charged off and run a report on the analytics result stored in HDFS and hive tables.

Related solution architectures

Loan ChargeOff Prediction with SQL ServerchaThis solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to predict whether a bank loan will need to be charged off within the next three months

Loan ChargeOff Prediction with SQL Servercha

This solution demonstrates how to build and deploy a machine learning model with SQL Server 2016 with R Services to predict whether a bank loan will need to be charged off within the next three months

Loan Credit Risk with SQL ServerBy 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 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.