It is critical for organizations to structure and optimize the decisioning of accepting new applicants with customer acquisition analysis. For organizations that provide some form of credit, say for loans or mobile devices, balancing revenue growth with loss mitigation is fundamental to business operations and profitability.
With Angoss, organizations extending credit can:
- Profile payers vs. non-payers
- Segment applicants by payment profiles
- Model based on days past due
- Build strategies to balance growth and losses
Angoss software and solutions capabilities for credit risk application include, among others:
- Data visualization makes it easy to determine which factors differentiate payers vs.non-payers by addressing questions such as:
- How many additional payments did non-payers miss with other companies?
- Did non-payers make more credit inquiries over the last 12 month period?
- How does the product mix of non-payers differ from that of payers?
-
Predictive decision tree algorithms are used to segment applicants by risk level. Flexible decision trees allow you to incorporate your policies and best practices into the generated decision trees for optimal segmentation.
-
Logistic regression models are built to score your portfolio, analyze the effectiveness of models and quickly predict which applicants are most likely to default. New models can be easily compared and validated against existing models to help ensure that non-payers are receiving lower scores.
- Strategy trees allow all of your origination analytics to be stored in a complete suite of predictive analytics software. Include Key Performance Indicators such as charge-off rate, approval rate and profit directly within each leaf of the strategy tree to balance “what-if” scenarios. Strategy trees allow users to assign auto- accept, auto-reject and referral treatments to optimize credit origination strategies.
Angoss designs and develops predictive analytics solutions that deliver actionable recommendations and results. These can be delivered directly into your Customer Relationship Management application, business analytics tools or accessed via a customized Web portal.