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The current explosive growth of auto loan debt² and the sparse and highly aggregated auto financing data available to regulators look remarkably similar to conditions that contributed to the Great Recession of 2007–09, as a lack of granular data can hinder regulatory oversight, resulting in an inability to identify emerging risks. As regulators acknowledge these data-driven challenges, they are shifting their focus toward the auto financing sector in a move that parallels the increased scrutiny that transformed the mortgage and student loan industries over the past decade. This heightened regulatory focus may also influence auto lenders to gain greater insight into their underlying data to not only bolster their assessment of various types of risks but also support a more competitive auto market.
Given this trajectory, automotive lenders need to consider leveraging data analytics to identify trends, predict customer needs and improve decision-making, while understanding and proactively responding to numerous challenges, including vendor oversight, increased regulatory scrutiny and the growing presence of fraud.