White Papers & Reports

Every fair lending and CRA software evaluation starts the same way: a shortlist of vendors, a run of demos that all look competent, and a decision that has to be defended internally on something firmer than which interface felt nicer. The difficulty is that the differences between these products are mostly invisible in a demo. They show up eighteen months later, in an examination, when someone asks how a number was produced and the honest answer turns out to be that nobody knows. This is a guide to testing for that in advance. It is written from our side of the table — we sell one of these products — so treat the last section as the interested party it is. The first five are the questions we would ask any vendor in this category, including ourselves. What does fair lending…

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Although geocoding is only one part of the examination accuracy testing, it is substantially different from the other submittable data that is tested. The geocode is probably the most important data element because of its demographic impact. There is no such thing as 100% accuracy for geocodes on a complete LAR due to the complexities and subtleties of the subject, but there is at least one proven solution that can achieve greater than 98% accuracy. This document contains statistical and anecdotal evidence describing how to achieve the highest precision level possible to help avoid a time-consuming resubmission process or a costly penalty. See the geocoding engine behind these accuracy figures. If you want to check a hard-to-place address yourself before it becomes a resubmission problem,…

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