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| eCustomer 2002 has powerful functions that make it a world-class solution for integral credit and consumer management. Here we also give a brief explanation of the
credit scoring concept. |
| 1.
Consumer Data Entry |
Main data-entry screen |
Here is where the administrative process and the handling of credit
begin. The information contained on the credit application will be entered here. It accepts multiple
addresses, employments, references and properties. At the same time,
it can capture relevant guarantors and guarantees. The system can
accept user's tables, departments, products, authorizations, etc. |
| Self-correction |
The system makes intelligent
corrections of first and last names in order to improve the quality
of capturing customers/applications. It uses algorithms to “learn”
new names. In addition, when it enrolls a customer/application, it
validates residential areas, cities, postal zones and telephone
numbers. |
| CIF |
The system assigns a unique customer
number to avoid duplications and to consolidate databases. This facilitates quick
customer searches. It integrates each customer’s information
(accounts/products, balances, behavior, etc.) all in one report. |
| Investigations |
Personalized questionnaires
and forms are used to coordinate telephone and field investigations. eCustomer controls work lines. Synchronized activities are distributed among the
personnel in charge of the investigations. |
| Pre-existing
portfolio |
Any pre-existing portfolio or
customer list can be uploaded to the system for its evaluation
and/or consolidation (internal bureau.) |
| Multi-parameters |
eCustomer handles multi-companies,
multi-branch, multi-products and multi-users. The system also
operates with multi-currencies and converts them into national
currency. The system permits flexible handling of product policies,
credit policies and scoring by product/credit type. It admits
parameters to enable mandatory capture fields. |
| Financial module |
Patrimonial statements and financial statements can be captured with their
respective horizontal analysis. Affiliate and associated
financial statements are consolidated. Comparative statements are issued for up to
three financial years. It handles pro-forma financial statements by
sectors. |
| Universal customer/
application |
Previously, the system only processed
customer/application information for individuals. A module has now
been integrated for corporations, in order to make it universally
acceptable for all types of customers or consumers. |
| 2. Process Control |
Status |
An individual report is issued for each customer/application containing all
of the information regarding an application’s status (for example: declined, authorized, or delayed due to a missing document or because the user did not follow-up on it.) |
| Critical path/Work
flow |
This function designs
business processes and work flows appropriate to jobs, tasks, or activities
that manage and analyze credit customers/applications. Work flow works as a guide in every stage of the process,
marking guidelines and giving necessary warning in order to follow
the appropriate credit process. |
| Check list |
The check list is an assistant that controls pending or unfinished activities within the
administrative process and the analysis of the customer/application. |
| Document control |
This function tracks incoming and outgoing of documents that makeup each customer’s/application’s file. It allows the user to distinguish between copies and
originals. |
| Activities' log |
The system has an automatic log that
“records” and stores historical information regarding the activities
and the processes carried out in the system by the user. |
| Security |
In order to protect the files,
databases and any other information related to the system, the chief
administrator can assign security levels to control access of different users. |
| Digital capture of
documents |
The creation of digital documents
and files ( bmp, gif, and jpg formats) for graphic visualization on
screen, print and optical disks. |
| Fraud detection |
Fraud is identified through the
automatic consultation of databases of defrauders, identifying them
by name, telephone, address, etc. |
| Call Center |
The system has a Call Center module
that allows communications between the company and
customers/consumers to leverage telesales, telemarketing and
teleservices campaigns. |
| 3. Credit Scoring |
Credit pre-scoring |
The credit pre-scoring function provides a preliminary score for granting or
declining credit to a customer/consumer by analyzing the application's
info -that is, the social-demographic data (age, marital status, income, job seniority, address, etc.) The pre-scoring
can serve as a filter before continuing with the credit scoring’s
next step. In order to execute any credit scoring, the user must have scoring tables. |
| Credit scoring |
Credit scoring is the most complete evaluation of
the customer/application, since the evaluation includes the
socio-demographic information, as well as, the applicant’s credit
report or credit history, which is obtained from the local credit
bureau. By running this function, the company has more precise,
secure, reliable and consistent data in order to grant or deny a credit line. |
| Credit multi-scoring |
This function is similar to the scoring
function, only applied to: (1) Analysis of a sole applicant or
consumer for each type of credit that a business offers; and (2)
Analysis of groups of applicants or consumers with specific
demographic characteristics for only one type of credit.
Multi-scoring is used to discover the cases in which an applicant
does not qualify for the type of credit requested, but does qualify
for other types of credit. |
| On-line connection
with credit bureau |
The system both communicates with the credit bureau and receives the requested report on-line. The credit report is analyzed and interpreted graphically to integrate it with the scoring process. |
| Scoring tables
integration |
Any type or amount of tables or
scoring models available on the market can be uploaded and
integrated into the system. |
| Credit committee |
Controls credit approvals granted
outside of normal policies and scoring procedures. This allows a credit committee to authorize applications according to the characteristics of the product, the amount of the credit line, and the authorization levels of the credit analysts. |
| Internal credit
bureau |
Automatic behavior analysis of the
customer’s existing payment habits. |
| Cut-off analysis |
Allows the analysis of the
sensitivity of the percentages of the authorized or declined
applications according to the cut-off scoring points. |
| 4. MIS (Management
Information System) |
Database segmentation |
This stores and segments information about the company’s customers. It
possesses search mechanisms that permit the user to obtain global lists of
customers according to established categories or those required by
the company (age, sex, marital status, residential area, income,
profession, property ownership, etc.) The same processes can be carried out
with customer databases that the company buys from third parties. |
| Executive reports |
The system generates a large number
of graphic reports with statistics related to credit
applications submitted to the company. Reports can be obtained with
data regarding the applications that have been received, approved,
declined, are pending, by seniority approval or refusal time, etc. |
| Database unification |
This function unifies the databases
of customers that have contracted more than one product with the
company. |
Each software product, eCustomer included, requires
the installation, training, support and consulting services that
Credisystem offers. For more information about this topic, please visit
the Service section in this
site.
| . . . . . . . . . . . . . . . . |
What is Credit Scoring |
Credit scoring is a
mathematical method that represents the fastest, most reliable,
accurate and consistent way to predict the likelihood of credit applicants paying their debts in the future.
This likelihood is determined by a forecast that is measured by
credit scores, which evaluate a determined value at a certain
time based on each consumer’s credit history, as well as their
demographic profile (age, occupation, income, marital status,
etc.) The higher the score the less risk there will be for
granting the credit line.
The credit scores are calculated by using scoring models, which
are mathematical tables that assign points to each part of the
consumers’ information that is relevant for determining the
feasibility of his/her credit.
In order to develop these models the user needs to study the
consumers' universe and their credit-use habits.
The scoring models can be developed with distinct data sources.
Generic scoring models are developed by assigning standard
values to consumers information, specific to their region or country. The customized or personalized scoring models are
constructed by using a company’s consumer information, which
is obtained from two sources: the credit application and the
credit bureau reports.
Credisystem's Perfiles Optimos
models use a similar credit scoring methodology. However, we use assigned points that are not static or absolute. Instead decision trees are used to obtain an ideal score and a credit profile of the consumer. |
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