Aplicación web para la predicción del comportamiento de la población vinculada a la compañía de seguros funerarios servivir

The business core of the company Servivir is based on services from the sale of exequial plans. In their process, they perform data analysis to: for example, a population concentration was found in three associated entities, which generates a financial risk in the event of understand customer behavi...

Full description

Autores:
Solarte, Omar
Cruz, carlos
Saint-Priest, Yana
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8737
Acceso en línea:
https://hdl.handle.net/11323/8737
https://doi.org/10.17981/cesta.02.01.2021.02
https://repositorio.cuc.edu.co/
Palabra clave:
Bodega de datos
Reportes gráfico
Regresión lineal
Seguros funerarios
Exequiales
Data warehouse
Graphical reports
Linear regression
Funeral insurance
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary:The business core of the company Servivir is based on services from the sale of exequial plans. In their process, they perform data analysis to: for example, a population concentration was found in three associated entities, which generates a financial risk in the event of understand customer behavior, however, they do not have the specialized tools for data analysis that make the process more efficient and reliable; it’s for this that the idea of building a web application was born that allows data analysis and presents the results through graphic reports. The project was designed under the incremental methodological structure of software development, guidelines and artifacts of the Scrum methodology were also implemented. The results showed relevant information on the behavior of those associated with Servivir retirement. In the end it is concluded that the application reduces the information analysis times by 99.98%, with what is considered highly functional.