1 / 8

Peterson’s Data Licensing: Mitigating Risk In Private Student Loans

Peterson’s Data Licensing: Mitigating Risk In Private Student Loans. Confidential and Proprietary – Please do not share or distribute outside of your organization. What Underwriting Criteria Should We Use?.

sargent
Download Presentation

Peterson’s Data Licensing: Mitigating Risk In Private Student Loans

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Peterson’s Data Licensing: Mitigating Risk In Private Student Loans Confidential and Proprietary – Please do not share or distribute outside of your organization

  2. What Underwriting Criteria Should We Use? Over the past 12 months, we at Peterson’s have fielded this question more than any other in terms of helping to bring innovative solutions to our customers.

  3. Data Driven Decisions = Risk Mitigation Using cohort default rates and FICO scores may seem like the perfect combination but it’s not. Until you use the relationship between key indicators within an institutional profile and that of the school’s ability to graduate successful students can you then mitigate the risk associated with private student loans. Amount of financial business risk Number of Peterson’s data elements used in underwriting

  4. Success = Managing & Mitigating Risk

  5. Disparate Data Elements = Unreliable Results Let’s face it, there’s no shortage of data available in the market or even in your own repository. However, our findings show that the vast majority of educational lenders structure their data and subsequent underwriting in a fragmented and disparate way. The result, lower approval rates and increased risk levels.

  6. Structured Data = Sustained Competitive Advantage At Peterson’s, we help bring structure to your data. Our database of supplemental strategic variables on colleges and universities can be the key indicators for your markets. With our combination of current and historic databases, we simply are the most comprehensive and accurate higher education data provider in the industry.

  7. Using Peterson’s Data = Sizeable Annual Growth Your market strategy, are you in it for the sprint or do you have a marathon approach? Ask any data analyst or statistician and they will tell you that it’s only over time that risk is mitigated by better understanding and leveraging your historical data and trends. At Peterson’s, we’ve been doing this work for the past 45 years – let us help you bring immediate impact and success to your overall private loan profitability with increased approval rates and an overall reduced risk profile. Q1/2010 Q2/2010 Q3/2010 Q4/2010 Q1/2011 Q2/2011 Q3/2011

  8. Contact Information Kevin Knotts Data & Content Licensing Peterson’s, Data Licensing Division 2000 Lenox Drive Lawrenceville, NJ 08648 Kevin.Knotts@petersons.com 1.800.338.3282 x53463 Please visit www.Petersonsdata.com for further information on our complete line of higher education databases available.

More Related