DMS Summary Attributes®

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)


DMS Summary Attributes® consolidate credit information for easier analysis by application and decisioning platforms, turning redundant data into valuable information. Credit-based decisions can be made more consistently with attributes that are uniformly distilled from each of the major credit bureaus.

DMS Summary Attributes® make calculating and implementing credit characteristics understandable and efficient for rule-based, statistical and transactional models. Common characteristics are provided across all credit bureaus and include 2,622 tri-bureau attributes covering 35 industry groups and nine risk categories. This comprehensive library is integrated with multiple loan origination systems and is available at the marketing and account management stages at Equifax®. DMS provides consistency of attributes over multiple bureaus and bureau versions, including online and archive delivery without compromising processing speed.

Key Benefits

·Tri-bureau attributes eliminate the need to code and validate attributes multiple times among various vendors such as the credit bureaus, loan origination systems, model developers and marketing companies.

·Manage and monitor existing customer accounts, leveraging uniform financial risk evaluation throughout the lending cycle.

·Develop more powerful statistical models by applying values to attribute calculations that might otherwise result in zero or null, by leveraging the derived imputation option.

·Reduce redundant data and combine attributes with internal performance or archived data for predictive modeling.

·Leverage the option to suppress and exclude authorized user tradelines from attribute calculations.

·Eliminate the need for additional coding and validation through the use of consistently derived credit characteristics throughout the lending cycle.