Operationalizing risk models

Struggling with Operationalizing Your R, Python, Excel and SAS Models?

Companies invest lots of time and money developing risk models to figure out which customers are the best bets for loans and credit. Operationalizing these models, developed in tools like Excel, SAS, Python and R, in risk decisioning processes often turns out to be really hard. It’s much more efficient to use a risk decisioning solution like Provenir Risk Analytics and Decisioning Platform, which:

  • Is model-agnostic.
  • Will extend the value of your investment in industry-standard modeling tools.
  • Will ensure that automated risk decisioning processes developed in Provenir are always using the most accurate and up-to-date risk models.

This entire process takes just a few minutes, which means you not only gain an effective way to maximize the value of your models, but can also instantly adapt risk decisioning processes whenever a model changes -- saving you both time and money.

Interested in learning how easy it really is to operationalize risk models with Provenir?

Read exactly how the process works here.

 

Provenir gives us the capability we need to test and operationalize our advanced analytical models so we can make strategic changes quickly.

John Bartley, Team Lead Data Scientist, UK

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