Lend Confidently in Uncertain Times
The events of March 2020 disrupted the way that consumers and companies transact with one another. As consumers sheltered in place in reaction to a health crisis, it became more difficult for many businesses to generate cash. Consequently, consumer incomes were threatened as a result of permanent and temporary worker furloughs, especially those in the services industries that directly or indirectly rely on face-to-face customer interaction. These events introduced historic uncertainty into the economic environment – both in the scale and nature of the disruption.
Within impacted lenders and service providers, few have faced steeper challenges to operating in this environment than credit risk managers.
Regaining Confidence, the latest white paper from the credit experts at LexisNexis® Risk Solutions, shares new findings and unique insights to help move forward and lend in today’s challenging market. The paper examines both traditional credit data and multiple forms of alternative data – taking stock not just of how consumers have fared in the first nine months of the recession, but also the role various data sources can play in stabilizing lending strategies.
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LexisNexis® Risk Solutions harnesses the power of data and advanced analytics to provide insights that help businesses and governmental entities reduce risk and improve decisions to benefit people around the globe. We provide data and technology solutions for a wide range of industries including insurance, financial services, healthcare and government. Headquartered in metro Atlanta, Georgia, we have offices throughout the world and are part of RELX (LSE: REL/NYSE: RELX), a global provider of information-based analytics and decision tools for professional and business customers. For more information, please visit www.risk.lexisnexis.com and www.relx.com.
This document is for educational purposes only and does not guarantee the functionality or features of LexisNexis products identified. LexisNexis does not warrant this document is complete or error-free.