Traditional credit scores often leave out many potential borrowers, like those with little or no credit history. This includes young adults, migrants, and lower-income segments. These traditional methods also miss out on providing clear information about a person's income or cash flow.
Leveraging New Technologies ??
With advancements in technology, we can now use non-traditional data sources to assess creditworthiness. This includes:
·???????Income - various income sources, like salary, self-employment, rental income or dividends, preferring stability but not requiring it.
·???????Expense - Including housing, utilities, and debts, favoring lower debt-
to-income ratios
·???????Digital payment history
·???????Telecommunications and location data
Using these data points, along with Machine Learning (ML) and AI, helps identify trends and patterns in consumer behavior. This means lenders can now get a more accurate picture of a person's ability and willingness to repay loans.
Benefits for Your Business ??
By incorporating alternative data into your credit assessments, you can:
·???????Include more borrowers who are typically excluded
·???????Get more accurate insights into a person's financial health
·???????Offer more tailored financial products and services
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Moving Forward ?
Signetcloud.ai, with its innovative underwriting feature combines traditional and alternative data sources to create a more robust and dependable credit assessment process. This opens opportunities for new and innovative financial products.
To learn more about how SignetCloud.ai can benefit your business.
Schedule a discovery call with one of our experts today, visit app.signetcloud.ai and register for a free. ?