Social and alternative data-driven scoring – a needed complement to traditional credit scoring
There is a need for a more accurate scoring within lending. By implementing alternative and social scoring, lenders can achieve higher accuracy in their credit evaluations. This makes it possible for lenders to capture customers they would otherwise have missed out on.
By collecting data from multiple alternative data sources and connecting them to loan performance, banks can harness unique insights that can be leverage in the competitive loan market. A case study of a large European bank showed that the bank saw an 14.7% improvement in credit scoring accuracy for new clients after implementing alternative scoring. The improvement in credit scoring accuracy lead to lower credit losses and higher loan approval rates for the bank.
Alternative scoring for more accuracy
Lenders have always faced the challenge of capturing new customers, and especially the profitable ones. As societies and technologies evolve, data-driven and social scoring is a great complement to traditional credit scoring.
Alternative data sources can help mitigating the following challenges:
- False positives – lending to non-creditworthy applicants
- False negatives – declining loan to creditworthy applicants
- Fraud – lending to people who have no intention of repayment
An alternative data source such as social scoring provides deepened insight into the applicant’s ability to pay back a loan. By utilizing web-front analytics, the applicant’s behaviour on the web can give a fairer credit score. The types of social and alternative data that are interesting for scoring purposes are Facebook, LinkedIn, email provider, IP address, geolocation and device database’s information, to mention a few key sources.
A scoring method that gathers information such as online behaviour, location-based data and additional data points will tell a much more accurate story about people’s history and credit scores, reducing fraud and making lenders able to capture customers they would otherwise miss out on.
More profitable credit decisions
For applicants with an irregular income (e.g. freelance workers, students, expats) or applicants that are new clients to the bank, alternative scoring is an excellent tool for improved pre-scoring of customers, which will lead to improved application quality.
Social and alternative data-driven credit scoring helps banks and financial institutes to improve their accuracy and balance their risk appetite. For me, this is a perfect example of how technology can accelerate businesses growth and at the same time help lenders to get access to a fair credit.
Interested to learn more? Contact me >>