Score
Initially applied by insurance companies of the United States, Credit Scoring is used around the world since last century. Credit Scoring is applied in Brazil for financial, banks and credit card companies, into credit rating of buyers of durable goods (cars, electronics, etc..), and to assign credit limits to customers.
Credify developed its own model on Credit Scoring based on ‘’weights’’ applied to some attributes and variable of an individual register. The final result in points can indicate the probability of a customer becomes "good payer" or "bad payer" based on
his/her profile.
Therefore, the Credit Scoring is a useful tool for credit rating quality of Individual and company.
There are two types of risk that can be measured:
Risk of Market: It is the risk which any company is submitted, for example, a war, recession, high interest rate.
Specific risk: It is the inherent risk to customer characteristics, evaluated by the Credit Scoring systems , credit analysts or companies analysts.
Here the objective is to become the specific risk more assertive as possible, being a predictive model, which means, a predictive score.
By the balance of many factors, the system classifies personal information into three main categories: those that, potentially are able to honor the loan, those whose potentially do not have such condition, and those whose require a detailed analysis. Including a CPF in the system, are obtained geodemographic information to the calculations required by the Credit Scoring. The return offered by the system will allow the analyzer / decision maker responsible for the credit, to make a better decision and less subjective.
Click here to see how the process works.
Advantages:
• Credit review more reliable;
• Organized information;
• Efficiency in the treatment of data supplied by third;
• Reduction of the subjective methodology;
• Comprehending the process;
• Obtainment of better results.
This system can also be used for companies, despite the fact that, some profile´s variables are different, the methodology is the same. The analyses can not only serve to the concession of credit, but also for the recovery of credit, in the case of companies already defaulters, which can be studied and have your profile evaluated with potential or not of credit recovery.
The success of the system basically depends on the quality of the available data, intelligence applied in the weighting and the level of updating data and statistical indexes of reference.
Click and see Class Insertion here.
Personal data
Name
Date of Birth
Address
Telephone
Zodiac Sign
Data of the Evaluation of Risk of Credit
Age
Sex
Civil state
Occupation
Level of Education
Regional default
Zip Code default
Income
BACEN
Insertion class
Recommendation
Description of Class
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