Read how GDS Link supported the growth of goeasy's loan portfolio with Predictive Model Markup Language (PMML).
In order to support the growth of their loan portfolio, goeasy was building robust adjudication and lending models. The models and algorithms were translated to pseudo-codes and detailed technical requirements, but this resulted in increased process lengths, which in turn produced a wider margin of error.
In essence, goeasy needed a solution that would allow for:
- Faster, and less manual, model implementations
- Simplified deployment
- Easier requirements gathering
- Reduced requirement translation, saving time
To learn how GDS addressed this challenge, and the results it produced for goeasy,
fill out the form to the right to download the case study.