Drive efficiency with flexible adjustment of approval criteria
The Credit Scoring Module supports the process of detailed scoring and rating analyses with flexible definition of Score Cards for risk assessment, based on client business needs. The definition of the Score Card parameters is based on client’s specific scoring indicators and is integrated in the process workflow closely related with the product definition.
Integrated DDC object on application level provides automatic calculation of card creditworthiness, based on predefined ranking scheme. In order to mitigate the possibility for double entries and centralize data control, the Score Card parameters integrate with the parameters from the Application Processing Module and automatically load the data from the Personal Data Registry which is data that is already in the system.
The module supports N levels of decision trees, including un-weighted, judgmental – weighted, data weighted, and judgmental – weighted and data weighted formulas, all of which automatically generate all possible combinations of answers and create the tree path, by overtaking the weight factors and entering points for all combinations.
For automatic processing of the Score Cards, calculation mechanisms such as variable weight, decision tree-mechanisms and other, are integrated within the Application Processing and Approval Processes and provide comprehensive results of the decision process.
The calculated score is automatically generated on all answer combinations which is then used in automatic calculation of application’s score of all applicants, based on the predefined ranging scheme. Furthermore, predefined parameters from Spreadsheet files can be directly linked into the Credit Score Cards and used in statistical analyses.
Collective Factors Score with Statistical & Subjective MeasurementsSystematize the application assessment procedures by interactively using statistical tools combined with flexibly defined parameters to create successful decision criteria.
Dynamic Scoring DefinitionMaximize the value of every lease applicant with dynamically defined evaluation parameters and statistical models, assuring reliable risk evaluation and quality decision processes.