Calculation based on average cost of eviction and best case error rate in Eviction Detection when comparing VeriScreen to its competitors in side by side tests. This calculation is the MINIMUM amount you would save. Most side by sides have yielded substantially higher savings.
VeriScreen recently completed a 4,000 name study of eviction data in affordable housing to eventually develop an algorithm to predict future evictions through Predictive Analytic Modeling similar to a credit bureau score. Our initial results were very eye-opening and helps us show our customers and prospective customers the advantage of using the VeriScreen solution through Comprehensive Background Checks..
The initial phase of the study was to answer three important questions when it comes to evictions in affordable housing:
- Won’t the eviction show up on the credit report?
- Are previous evictions an indicator of future evictions?
- Is there a correlation between criminal records (particularly felonies) and the chance of being evicted?
The data was analyzed independently by a researcher with a PhD in Predictive Analytics. Call our office or complete the contact form below to get the results of this study.
If you aren’t into the details you can complete the fields below to determine how much money using the VeriScreen solution can save your company in eviction hard costs.