Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance

Descripción del Articulo

Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017; Orlando; United States; 21 March 2017 through 24 March 2017; Code 131437
Detalles Bibliográficos
Autores: Ampuero Mendoza, Libusi, Alfaro Carranza, Rosa
Formato: objeto de conferencia
Fecha de Publicación:2017
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:español
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/622492
Enlace del recurso:http://hdl.handle.net/10757/622492
Nivel de acceso:acceso abierto
Materia:Data
Data governance
Framework
Maturity model
Technological trends
https://purl.org/pe-repo/ocde/ford#2.02.04
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dc.title.es.fl_str_mv Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
dc.title.alternative.es.fl_str_mv Technological-organizational maturity model for the successful implementation of Data Governance initiatives
title Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
spellingShingle Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
Ampuero Mendoza, Libusi
Data
Data governance
Framework
Maturity model
Technological trends
https://purl.org/pe-repo/ocde/ford#2.02.04
title_short Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
title_full Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
title_fullStr Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
title_full_unstemmed Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
title_sort Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
author Ampuero Mendoza, Libusi
author_facet Ampuero Mendoza, Libusi
Alfaro Carranza, Rosa
author_role author
author2 Alfaro Carranza, Rosa
author2_role author
dc.contributor.author.fl_str_mv Ampuero Mendoza, Libusi
Alfaro Carranza, Rosa
dc.subject.es.fl_str_mv Data
Data governance
Framework
Maturity model
Technological trends
topic Data
Data governance
Framework
Maturity model
Technological trends
https://purl.org/pe-repo/ocde/ford#2.02.04
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.04
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publishDate 2017
dc.date.accessioned.none.fl_str_mv 2018-01-08T15:54:10Z
dc.date.available.none.fl_str_mv 2018-01-08T15:54:10Z
dc.date.issued.fl_str_mv 2017-03
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/622492
identifier_str_mv 978-194176356-8
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.publisher.es.fl_str_mv International Institute of Informatics and Systemics, IIIS
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
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spelling cf872609c394efafe40ce6d638b652da-12e6de126bc656f10cf01cd27ba6a7762-1Ampuero Mendoza, LibusiAlfaro Carranza, Rosa2018-01-08T15:54:10Z2018-01-08T15:54:10Z2017-03978-194176356-8http://hdl.handle.net/10757/622492Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017; Orlando; United States; 21 March 2017 through 24 March 2017; Code 131437Data management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. In this way ensure the success of a Data Governance initiative.Revisión por paresapplication/pdfspaInternational Institute of Informatics and Systemics, IIIShttp://www.iiis.org/CDs2017/CD2017Spring/papers/CB492HR.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/DataData governanceFrameworkMaturity modelTechnological trendshttps://purl.org/pe-repo/ocde/ford#2.02.04Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data GovernanceTechnological-organizational maturity model for the successful implementation of Data Governance initiativesinfo:eu-repo/semantics/conferenceObjectreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPC2018-06-16T05:09:49ZData management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. 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