SMEs and MSMEs are the major growth engines of economies that rely on banks and financial institutions to help with their funding needs. Banks and financial institutions need solutions to help them navigate through multiple challenges of minimizing lending risks, securing data, streamlining credit operations, and safeguarding their profitability Mumbai: Inclusion of GST data as a parameter for credit risk assessment will help reduce NPAs for banks and financial institutions in SMEs and MSMEs lending. Talking to Bizz Buzz, Niraj Hutheesing, Founder and Managing Director of Cygnet Infotech, says:
“All evaluations related to credit risk assessment and lending processes for SMEs/MSMEs now should also have indirect tax (GST data) as a parameter. This data allows lenders to monitor the credit worthiness for loan performance as an early warning, this will tremendously decrease the number of NPAs in the market.”
As a differentiator Cygnet FinTech works on the data cash flow-based model that help lending institutions build a customer-centric model for credit underwriting. Since e-invoice is a mandate now, the invoice discounting/trade financing can be validated too. Banks want to focus on customers/prospects that are new to the space to generate more credit opportunities and give impetus to lending, and hence are collaborating more with fintech companies. Such fintech companies like Cygnet Fintech will enable these banks get consent-based data points from multiple data sources like ITR, MCA, GST, bank statements and more for analysing and making informed credit decisions, he said.
Read more: https://articlesmaker.com/gst-as-a-credit-risk-assessment-tool-will-help-reduce-npas-for-smes/
