dc.creatorAmpuero Mendoza, Libusi
dc.creatorAlfaro Carranza, Rosa
dc.date.accessioned2018-01-08T15:54:10Z
dc.date.accessioned2024-05-06T19:47:29Z
dc.date.available2018-01-08T15:54:10Z
dc.date.available2024-05-06T19:47:29Z
dc.date.created2018-01-08T15:54:10Z
dc.date.issued2017-03
dc.identifier978-194176356-8
dc.identifierhttp://hdl.handle.net/10757/622492
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9292078
dc.description.abstractData 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.languagespa
dc.publisherInternational Institute of Informatics and Systemics, IIIS
dc.relationhttp://www.iiis.org/CDs2017/CD2017Spring/papers/CB492HR.pdf
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectData
dc.subjectData governance
dc.subjectFramework
dc.subjectMaturity model
dc.subjectTechnological trends
dc.titleModelo de madurez Tecno-organizacional para la puesta en marcha exitosa de iniciativas de Data Governance
dc.typeinfo:eu-repo/semantics/conferenceObject


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