Data Driven Policy Rules Revision
In many occasions financial organization adopt a multi-layer set of policy rules to take credit decision. Sometimes this bring to reject / non eligibility levels above the desired value. Data analysis on historical data can bring to redesign the rules in a more efficient and stramlined process.
The institution was embarking on full digital journey and aimed to reduce high rejection rate early on in the UNDERWRITING process
increase in approval rate
reduction in bad rate
expected to be reduce from 23days to 13days
Reduction of the number of policies
on risk level
Technology is so powerful right now and offers many solutions to support financial systems undergoing radical change.
That’s why we want financial institutions to discover our idea of a future packed with opportunities that we already provide.