Bibliographic citations
Asmat, M., Canchari, G., López, A. (2021). Propuesta de implementación de un Modelo Gobierno de Datos para una Empresa Ajustadora y de Peritos de Seguros [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656071
Asmat, M., Canchari, G., López, A. Propuesta de implementación de un Modelo Gobierno de Datos para una Empresa Ajustadora y de Peritos de Seguros [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/656071
@mastersthesis{renati/395611,
title = "Propuesta de implementación de un Modelo Gobierno de Datos para una Empresa Ajustadora y de Peritos de Seguros",
author = "López Ramos, Alex",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
The general objective of this research project is to propose a data governance model for an expertise and insurance adjustment settlement company, which enables converting information into a strategic value through effective management of information assets. The first chapter presents and analyzes the theoretical, normative and conceptual framework that describes the companies and its environment of the adjustment and insurance expertise sector. In the same way, various frameworks and standards related to data governance will be used in the development of this research project are introduced and analyzed. The second chapter describes the company’s current situation, detailing its internal and external environment, current problems and identifies the pain points with reference to the use, processing, integration and security of the data and information the company has been facing, concluding with the impact economic and risks that the identified weaknesses mean for the company. The third chapter presents the proposal of the model for the solution to the problem described, which is grouped into five aspects: the objectives, the current situation of data governance, the proposal of the data governance model, the economic feasibility and the benefits expected of the proposed model. Finally, the last chapter details the conclusions associated with this research project and recommendations in order to fulfil with the aim to obtain a much profit for the company with adequate data governance.
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