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

Ampuero Mendoza, Libusi; Alfaro Carranza, Rosa

dc.contributor.author	Ampuero Mendoza, Libusi	*
dc.contributor.author	Alfaro Carranza, Rosa	*
dc.date.accessioned	2018-01-08T15:54:10Z
dc.date.available	2018-01-08T15:54:10Z
dc.date.issued	2017-03
dc.identifier.isbn	978-194176356-8
dc.identifier.uri	http://hdl.handle.net/10757/622492
dc.description	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	es
dc.description.abstract	Data 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.
dc.format	application/pdf	es
dc.language.iso	spa	es
dc.publisher	International Institute of Informatics and Systemics, IIIS	es
dc.relation.url	http://www.iiis.org/CDs2017/CD2017Spring/papers/CB492HR.pdf	es
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Data	es
dc.subject	Data governance	es
dc.subject	Framework	es
dc.subject	Maturity model	es
dc.subject	Technological trends	es
dc.title	Modelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance	es
dc.title.alternative	Technological-organizational maturity model for the successful implementation of Data Governance initiatives	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dc.description.peerreview	Revisión por pares	es_PE
refterms.dateFOA	2018-06-16T05:09:49Z
html.description.abstract	Data 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.