Defining Alternative Data: Building a Common Language for Credit Risk Management

In this episode, we explore what “alternative data” means and why defining it matters for credit risk management around the world. Moderated by Stewart Watterson of Datos Insights, LexisNexis Risk Solutions experts Kevin King and Neil Allen discuss the growing complexity of credit data, the challenges caused by inconsistent terminology and the impact on innovation, regulation and consumer trust. 

The conversation introduces a standardized framework for understanding traditional credit data, alternative data, open banking data and emerging data types, with regional perspectives from the US, UKI and global markets. Gain practical insights into how clearer definitions can accelerate adoption, improve risk decisioning and support more inclusive lending outcomes.

For more information and to download the Defining Alternative Data Report and supporting collateral, click here.

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