Combing the power of modern-day technology, with in-depth and year-long expertise in credit management and credit scoring, Quantforce’s QuantQollect software solution brings the power of predictive credit scoring right into the hands of the modern-day credit manager. Download the pdf and read more....
Quantforce’s QuantQredit software package, is a full-fledged predictive model development tool, allowing the user to generate a predictive modeling scorecard using the scoring methodology. The underlying philosophy of its development, has been to provide the data scientist with an easy-to-use model development interface, whereby transparency and control of the data analysis and the model development process have been key cornerstones.
After scoring the file, you will receive a score between 1 and 7 per customer. Number 1 indicates high risk, figure 7 is very low risk. These scores form the beginning of a differentiated layout of your workflows. In the document you can read how you can apply this. Of course we can support you in the design and application of this process.
A good working scorecard is also based on the quality of your data. For example: - If you have problems manageing your disputed items in time. It is then relevant to eliminate your disputed items before you upload your file. - If you have granted other due dates informally, but you haven't formilized them in your administration, please take care that you change this before you create your scorecards.