CFN SA (Crédito Argentino + Megatone)

CFN SA (Crédito Argentino + Megatone)

CFN SA (Crédito Argentino + Megatone)

CFN SA (Crédito Argentino + Megatone)

CFN SA (Crédito Argentino + Megatone)

Non-banking leader in personal loans and merchant credit in Argentina, was established in 1986 in Santa Fe by a group of entrepreneurs and professionals to address the lack of financial services for the wage-earning sector. Specialized in financing purchases in stores and granting personal loans to employees, it experienced rapid growth from 1995, becoming a regional leader.

Non-banking leader in personal loans and merchant credit in Argentina, was established in 1986 in Santa Fe by a group of entrepreneurs and professionals to address the lack of financial services for the wage-earning sector. Specialized in financing purchases in stores and granting personal loans to employees, it experienced rapid growth from 1995, becoming a regional leader.

Non-banking leader in personal loans and merchant credit in Argentina, was established in 1986 in Santa Fe by a group of entrepreneurs and professionals to address the lack of financial services for the wage-earning sector. Specialized in financing purchases in stores and granting personal loans to employees, it experienced rapid growth from 1995, becoming a regional leader.

Non-banking leader in personal loans and merchant credit in Argentina, was established in 1986 in Santa Fe by a group of entrepreneurs and professionals to address the lack of financial services for the wage-earning sector. Specialized in financing purchases in stores and granting personal loans to employees, it experienced rapid growth from 1995, becoming a regional leader.

Non-banking leader in personal loans and merchant credit in Argentina, was established in 1986 in Santa Fe by a group of entrepreneurs and professionals to address the lack of financial services for the wage-earning sector. Specialized in financing purchases in stores and granting personal loans to employees, it experienced rapid growth from 1995, becoming a regional leader.

  • Problem

    The scoring model that the client had at the time of meeting us was characterized by being an outdated "black box" in which the decision-making process couldn't be explained.

  • Solution

    The creation of a new credit scoring model is proposed to overcome the deficiencies of the current one, based on recent data, and it is expected to deliver improved performance compared to the previous model.

  • Results

    The new model provides explanations for rejection/acceptance. Now, the business has a clear understanding of how the model operates and the relative importance of the different variables involved.

  • Problem

    The scoring model that the client had at the time of meeting us was characterized by being an outdated "black box" in which the decision-making process couldn't be explained.

  • Solution

    The creation of a new credit scoring model is proposed to overcome the deficiencies of the current one, based on recent data, and it is expected to deliver improved performance compared to the previous model.

  • Results

    The new model provides explanations for rejection/acceptance. Now, the business has a clear understanding of how the model operates and the relative importance of the different variables involved.

Problem

The scoring model that the client had at the time of meeting us was characterized by being an outdated "black box" in which the decision-making process couldn't be explained.

Solution

The creation of a new credit scoring model is proposed to overcome the deficiencies of the current one, based on recent data, and it is expected to deliver improved performance compared to the previous model.

Results

The new model provides explanations for rejection/acceptance. Now, the business has a clear understanding of how the model operates and the relative importance of the different variables involved.

  • Problem

    The scoring model that the client had at the time of meeting us was characterized by being an outdated "black box" in which the decision-making process couldn't be explained.

  • Solution

    The creation of a new credit scoring model is proposed to overcome the deficiencies of the current one, based on recent data, and it is expected to deliver improved performance compared to the previous model.

  • Results

    The new model provides explanations for rejection/acceptance. Now, the business has a clear understanding of how the model operates and the relative importance of the different variables involved.

Problem

The scoring model that the client had at the time of meeting us was characterized by being an outdated "black box" in which the decision-making process couldn't be explained.

Solution

The creation of a new credit scoring model is proposed to overcome the deficiencies of the current one, based on recent data, and it is expected to deliver improved performance compared to the previous model.

Results

The new model provides explanations for rejection/acceptance. Now, the business has a clear understanding of how the model operates and the relative importance of the different variables involved.

Tecnologías utilizadas

Tecnologías utilizadas

Tecnologías utilizadas

Contact

Please fill out the form to contact us and schedule a meeting with us. Let's talk about how we can add value to your project.

Contact

Please fill out the form to contact us and schedule a meeting with us. Let's talk about how we can add value to your project.

Contact

Please fill out the form to contact us and schedule a meeting with us. Let's talk about how we can add value to your project.

Contact

Please fill out the form to contact us and schedule a meeting with us. Let's talk about how we can add value to your project.

Let’s transform your organization together

© 2024 Urbs Data. All rights reserved - Developed by Mango Tango

Let’s transform your organization together

© 2024 Urbs Data. All rights reserved - Developed by Mango Tango

Let’s transform your organization together

© 2024 Urbs Data. All rights reserved - Developed by Mango Tango

Let’s transform your organization together

© 2024 Urbs Data. All rights reserved - Developed by Mango Tango