Prediction of financial product acquisition for Peruvian savings and credit associations

Emmanuel Roque Vargas; Ricardo Cadillo Montesinos; David Mauricio

doi:10.1109/CONIITI51147.2020.9240413

Prediction of financial product acquisition for Peruvian savings and credit associations

Emmanuel Roque Vargas, Ricardo Cadillo Montesinos, David Mauricio

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients who are most likely to acquire a financial product for Peruvian savings and credit cooperatives. The model was implemented using IBM SPSS Modeler for predictive analysis and tests were performed on 40,000 records on 10,000 clients, obtaining 91.25% accuracy on data not used in training.

Idioma original	Inglés
Título de la publicación alojada	2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings
Editores	Monica Andrea Rico Martinez
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728194660
DOI	https://doi.org/10.1109/CONIITI51147.2020.9240413
Estado	Publicada - 30 set. 2020
Publicado de forma externa	Sí
Evento	2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - 2020 International Conference on Innovation and Trends in Engineering, CONIITI 2020 - Bogota, Colombia Duración: 30 set. 2020 → 2 oct. 2020

Serie de la publicación

Nombre	2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings

Conferencia

Conferencia	2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - 2020 International Conference on Innovation and Trends in Engineering, CONIITI 2020
País/Territorio	Colombia
Ciudad	Bogota
Período	30/09/20 → 2/10/20

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Publisher Copyright:
© 2020 IEEE.

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10.1109/CONIITI51147.2020.9240413

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Vargas, E. R., Cadillo Montesinos, R., & Mauricio, D. (2020). Prediction of financial product acquisition for Peruvian savings and credit associations. En M. A. R. Martinez (Ed.), 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings Artículo 9240413 (2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIITI51147.2020.9240413

Vargas, Emmanuel Roque ; Cadillo Montesinos, Ricardo ; Mauricio, David. / Prediction of financial product acquisition for Peruvian savings and credit associations. 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings. editor / Monica Andrea Rico Martinez. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings).

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title = "Prediction of financial product acquisition for Peruvian savings and credit associations",

abstract = "Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients who are most likely to acquire a financial product for Peruvian savings and credit cooperatives. The model was implemented using IBM SPSS Modeler for predictive analysis and tests were performed on 40,000 records on 10,000 clients, obtaining 91.25% accuracy on data not used in training.",

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Vargas, ER, Cadillo Montesinos, R & Mauricio, D 2020, Prediction of financial product acquisition for Peruvian savings and credit associations. En MAR Martinez (ed.), 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings., 9240413, 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - 2020 International Conference on Innovation and Trends in Engineering, CONIITI 2020, Bogota, Colombia, 30/09/20. https://doi.org/10.1109/CONIITI51147.2020.9240413

Prediction of financial product acquisition for Peruvian savings and credit associations. / Vargas, Emmanuel Roque; Cadillo Montesinos, Ricardo; Mauricio, David.
2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings. ed. / Monica Andrea Rico Martinez. Institute of Electrical and Electronics Engineers Inc., 2020. 9240413 (2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Prediction of financial product acquisition for Peruvian savings and credit associations

AU - Vargas, Emmanuel Roque

AU - Cadillo Montesinos, Ricardo

AU - Mauricio, David

PY - 2020/9/30

Y1 - 2020/9/30

N2 - Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients who are most likely to acquire a financial product for Peruvian savings and credit cooperatives. The model was implemented using IBM SPSS Modeler for predictive analysis and tests were performed on 40,000 records on 10,000 clients, obtaining 91.25% accuracy on data not used in training.

AB - Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients who are most likely to acquire a financial product for Peruvian savings and credit cooperatives. The model was implemented using IBM SPSS Modeler for predictive analysis and tests were performed on 40,000 records on 10,000 clients, obtaining 91.25% accuracy on data not used in training.

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ER -

Vargas ER, Cadillo Montesinos R, Mauricio D. Prediction of financial product acquisition for Peruvian savings and credit associations. En Martinez MAR, editor, 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9240413. (2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings). doi: 10.1109/CONIITI51147.2020.9240413

Prediction of financial product acquisition for Peruvian savings and credit associations

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