Frictionless Support Across the Customer Lifecycle
Balancing a credit risk portfolio has never been more challenging. Robust automation software can help you lower costs, mitigate risk and take advantage of more cross-sell and retention opportunities. Growing loan acquisition costs make borrower retention an increasingly important part of successful risk management strategies. GDS Link’s Modellica solution provides frictionless support across the entire credit customer lifecycle, from origination to a customer’s first loan and beyond.
Timing is Everything When it Comes to Growth
Put timely offers in front of the right customers, at the right time to grow your business. Using strategies such as bank transaction data, and other traditional and non-traditional data sources, can help your organization quickly spot opportunities to move your borrowers to the next product offering.
Automatically Spot Growth and Retention Opportunities
Proactively reviewing accounts with Modellica’s automated workflows helps you maximize every available opportunity for growth. Build custom scorecard models using a simple drag-and-drop interface. Model risk strategies informed by over 200 global sources of borrower data. Automatically activate retention and pre-collection workflows when customers experience sudden changes to their credit status or income.
Get Real-World Expertise from Strategic Consulting
GDS Link’s analytics and advisory teams have extensive experience in portfolio optimization, scorecard model development and credit lifecycle automation. Leverage our software solution to manage your risk portfolio day to day. Engage our analytics and consulting team to develop, test and optimize the statistical models that inform automated account review, segmentation and decisioning processes.
What Our Customers Say
Over 80% of banks can’t participate in credit cards because of scale. We saw an opportunity to build a 21st century end-to-end platform for banks to service credit card loans, including credit decisioning and on-boarding processes.
We had a 50% reduction in time to implement a Logistical Regression Model by using GDS's PMML tool. Previously it took approximately 20 hours and with this tool we can deploy a model in approximately 10.
We have the ability to pull and aggregate data - pass the data through the decision engine - implement rule sequences and process credit applications for multiple banks. The stability of the base code allows us to turn the tool into what we need to be – it is a huge benefit.