Web Application for Predicting the Behavior of the Population Linked to a Funeral Insurance Company
DOI:
https://doi.org/10.17981/cesta.02.01.2021.02Keywords:
data warehouse, graphical reports, linear regression, funeral insuranceAbstract
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 grapThe 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 Servivirretirement. In the end it is concluded that the application reduces the information analysis times by 99.98%, with what is considered highly functional.hic 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 Servivirretirement. In the end it is concluded that the application reduces the information analysis times by 99.98%, with what is considered highly functional.
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