Fuse Blog

The global core banking software market, which includes loan origination systems for credit unions, is projected to grow by nearly 75% and reach $21.61 billion by 2030, according to Grand View Research. That growth reflects a simple fact: credit unions can no longer afford to run lending operations on fragmented legacy tools.

The shift to digital is not theoretical. A Curinos study found that 72% of consumers prefer opening a checking account through digital channels over visiting a branch. Meanwhile, fintechs now hold nearly 40% of the consumer loan market. The number of federally insured credit unions has declined by more than 30% over the past decade. The institutions that survive will be those that offer an online account opening experience that matches what members can find at a neo-bank.

Digital lending is helping lenders bring loan products to market faster, provide customers with more accessible user experiences, and leverage data analytics to meet customer expectations.

Key performance indicators (KPIs) help businesses evaluate their performance and determine operational efficiency. In the banking industry, KPIs enable financial institutions like banks and credit unions to optimize processes such as lending, especially when using advanced loan origination systems.

Recent banking trends indicate a shift in the role of technology in transforming the banking ecosystem. Whether financial institutions adopt digital technologies to streamline back-end processes or front-end customer-facing ones, these technologies drive today’s banking innovation.

In the lending industry, metrics like the debt service coverage ratio (DSCR) are essential to evaluate borrowers’ ability to service loans. Lenders, financers, or investors can use the DSCR to determine if individuals or businesses can afford to pay back loans based on factors like their income and recurring expenses.

Automating the lending process can help financial institutions improve their operational efficiency, increase productivity, and drive growth in revenue.

In recent years, in-house financing has become a popular strategy for businesses and lenders alike. The speed, reliability, and convenience of in-house/white-label financing with an advanced LOS system make it an ideal option to simplify the purchasing process for customers.

Manual workflows for credit decisioning are becoming obsolete because they do not perform as fast, precisely, and reliably as automated processes. And with the rapid growth of customer-facing digital solutions powered by data analytics, more financial institutions are adopting automated loan decisioning tools to support their loan origination system workflows.