Stung by the fallout from the subprime crisis, financial institutions are entering the next stage: a credit-driven market requiring tighter underwriting and a smarter, more efficient lending operation. By getting back to basics and returning to more traditional, sounder credit practices, they are, in essence, going back to the future. Unlike in previous markets, banks today can leverage extensive consumer data using advanced analytics, which, in light of current market difficulties, can help define additional parameters for approving credit in the future.
Positioning for Next Growth Phase
To improve operations, lenders need to industrialize—that is, simplify technology platforms and internal processes to reduce costs, increase efficiency and position themselves for greater scalability in the next growth phase.
Consider that roughly 80 percent of credit processes are common across such credit categories as auto finance, home mortgages and consumer loans. For example, the basic processes of closing an auto finance loan and a mortgage application are, for the most part, the same.
Credit processing offers attractive opportunities to cut costs and improve competitiveness through industrialization. Just as automakers rationalized their operations by standardizing chassis and engines across multiple car brands, banks can reap both short-term cost savings and long-term strategic benefits by standardizing processing, roles and technologies across various credit products.
Although differences exist among mortgage loans, car loans and secured business loans, managing data pertaining to collateral for each loan type is largely the same. Similarly, lenders are already reaping cost efficiencies and scale economies through outsourcing and white-label lending arrangements that effectively allow them to share a common technology platform. But industrialized banking may also make it possible to deploy technologies—such as imaging—that are uneconomical for one product line or unit but can deliver powerful advantages when deployed across several areas.
Given the process similarities, sharing technology across credit categories is a natural step. The bottom-line benefits of such sharing depend on the size of the lender and the number of credit categories or products it offers, but might well be measured in the tens or even hundreds of millions of dollars, euros or yen annually.