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Saturday, May 19, 2012

Impact Data

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Credit Grantor

solutions-creditgranter Credit worthiness is always a bit of a risk and credit grantors do their best to manage that risk by relying on data. Too often that data is a credit bureau score, yet studies show that as much as 41 percent of information is outdated or incorrect. Those inaccuracies certainly increase the amount of risk a credit grantor is taking, though he or she may now know. Even if the information is correct, protecting it can bring challenges of its own.

Impact Data’s geo-economic scoring and segmentation model helps take the risk out of credit granting decisions by determining which customers have a higher propensity to perform. Our models do not use consumer-identifiable information, making it among the most secure methods for determining credit worthiness. It provides a clear road map that’s easy to use, measurable and can be implemented quickly. Read a case study showing how one debt buyer used Impact Data’s geo-economic scoring and segmentation methods to maximize its collection efforts by better targeting consumers with a propensity to perform.

Get started granting credit to those most likely to perform by submitting a sample data file

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