Peak Attributes

Differentiated attributes improve speed to market and ease of use across the entire attribute lifecycle

Peak Attributes. For Peak Performance.

Peak Attributes is a comprehensive attribute portfolio built on proven, differentiated data, driven by innovative analytic techniques, and supported by patent-pending technologies. With Peak Attributes, you get improved predictability and performance to help you move quickly and easily from where you are today to a state of peak advantage.


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Clear and current consumer behavior perspective is the foundation of consistent credit decisions that support stronger revenue generation across the customer lifecycle. Peak Attributes delivers the power of a premium set of tri-bureau enabled consumer credit attributes to support more confident, consistent credit decisions. Maximize business performance with consumer credit attributes that provide a relevant, predictive viewpoint of the consumer while minimizing the resources needed to manage multi-sourced attributes.

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Trended Credit Data creates a deeper, tradeline view of consumer credit behavior to support stronger decisions and more precise targeting across the account lifecycle. With the historical perspective of up to 24 months of tradeline information on over 1.3 billion trades, trended credit attributes provide a wider view of consumer financial patterns.  Make better, more relevant offers and grow your portfolio by relying on the historical consumer credit behavior perspective delivered with trended credit attributes form Peak Attributes.

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These attributes help you obtain a more complete picture of a consumer’s payment behavior on more than just their credit file. The next generation of telecommunication, pay TV and utility attributes features over 600 attributes, including many derived at the industry level. Newly added concepts are introduced, such as satisfactory accounts, ever delinquency status, never paid indicator, worst status flags, and more.  

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This first-of-its-kind offering uses our patent-pending technique to capture actual interactions between input variables - valuable correlations oftentimes missed using a traditional logistic regression model. The resulting  “super attributes” create deeper insight for your modeling efforts.

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