Bibliographic citations
Olivera, L., Nomberto, M. (2021). Sistema de soporte a la toma de decisiones para el seguimiento oportuno de indicadores comerciales en una empresa automotriz empleando analítica descriptiva [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656320
Olivera, L., Nomberto, M. Sistema de soporte a la toma de decisiones para el seguimiento oportuno de indicadores comerciales en una empresa automotriz empleando analítica descriptiva [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/656320
@misc{sunedu/3093570,
title = "Sistema de soporte a la toma de decisiones para el seguimiento oportuno de indicadores comerciales en una empresa automotriz empleando analítica descriptiva",
author = "Nomberto Velásquez, Mauricio Enrique",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The renewal of the automotive fleet requires that vehicle suppliers efficiently meet the demand of the national market; for this, these companies must make decisions with accurate and timely information; In this sense, the present research work proposes to solve the problem of generation of commercial indicators of the sales management of an automotive company, due to manual tasks that consume man hours, reprocesses and delivery of inopportune information. In the first chapter we raise the problem and define the general objective and the specific objectives, the analysis of the economic and technical feasibility of the project. In the second chapter we detail the results of the students established by ABET. In the third chapter we expose the theoretical framework, where we discern between different frameworks, methodologies, and tools to propose the solution to the problem, considering the organization's strategic technology plan to continue scaling the business architecture. In the fourth chapter he describes the development of the project, where we survey the business requirements to identify functional and non-functional requirements, quality attributes, drivers, architecture tactics; Furthermore, we designed the solution under the Ralph Kimball methodology for business intelligence solutions. In the fifth chapter we document the achievements of the project, the TO-BE of the process diagram and the prototypes of the main views of the commercial indicators. In the sixth chapter we detail the project management based on the PMBOK® Good Practice Guide. Finally we document our conclusions and recommendations based on our experience when researching and designing the solution.
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