Credit Applications Scoring

Applications Scoring is applicable to any type of credit that can be granted to persons or corporations from a financial institution such as a Bank, an Insurance Company or an Investment Society.

Most Applications Scoring Systems (e.g. our proprietary DECISION FORCE) are developed based on historical data from past customers. This data concern information about the profile of each past customer and also his/her final credit behaviour. Special-purpose training algorithms, process the above data and extract SCORECARDS that dictate which customers are creditworthy and which are non-creditworthy.

Followingly, the above scorecards are used in order to predict the expected creditworthiness of new candidate customers, based on the attributes that form the profile of these candidates (such attributes can be the Age, the Occupation, the Income, the Family Status etc.).

Some systems (such as DECISION FORCE) have a distinct capability to predict SIMULTANEOUSLY for each candidate customer, all those target factors that are related to his/her creditworthiness, such as:

  • Solvency
  • Liquidity
  • Profitability
  • Risk for getting credit