Within the last few years, we've seen many financial institutions rely heavily on traditional data as they've been making various credit decisions. Recent tumultuous times have also caused businesses and consumers to lose valuable revenue. Meanwhile, existing data models that were originally intended for periodic declines (instead of a complete economic standstill) have proven not to be as relevant or foretelling. These dramatic changes in both credit and consumer behavior have caused lenders to seek new data and earlier warning signs. This is where analytics come in.
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