Publicación:
Towards analytics data governance in family compensation funds in Colombia - Case Study

dc.contributor.advisorTabares Betancur, Marta Silvia del Socorro
dc.contributor.authorLondoño Muñoz, Susana
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.emailslondo50@eafit.edu.co
dc.date.accessioned2024-09-24T19:49:57Z
dc.date.available2024-09-24T19:49:57Z
dc.date.issued2024
dc.description.abstractFamily compensation funds are private social organizations, characterized by delivering various services to workers and their families. With a wide diversity of services and public, their data will be equally heterogeneous. The nature of family compensation funds functions means that data decision-making directly affects the delivery of services associated with the quality of life of workers and their families. The impact of data and analytics on the lives of these individuals is profound, making the role of Analytics Data Governance even more crucial. This article proposes a model of Analytics Data Governance that can be applied in the family compensation funds of Colombia, emphasizing on analytics data by adjusting the elements of a transactional data governance model to the phases of analytical life cycle proposed in CRISP-DM, this will allow control over the different data sources, formats, and participants in the various phases of the analytics data lifecycle that are part of decision-making in these types of organizations. Only two articles were found addressing data governance in family compensation funds in Colombia, and their emphasis was purely on transactional data management. Crucial elements of data governance such as roles, responsibilities, policies, standards, and procedures are proposed to address these organizations’ challenges in analytics data governance. In the context of Comfama, where the implementation of a data governance is in progress, this work addresses how the elements proposed are applied to extend data governance to analytics data.
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ciencias de Datos y Analíticaspa
dc.format.mimetypeapplication/pdf
dc.identifier.instnameinstname:Universidad EAFIT
dc.identifier.reponamereponame:Repositorio Institucional Universidad EAFIT
dc.identifier.repourlrepourl:https://repository.eafit.edu.co
dc.identifier.urihttps://hdl.handle.net/10784/34625
dc.language.isoeng
dc.publisherUniversidad EAFITspa
dc.publisher.departmentÁrea Computación y Analíticaspa
dc.publisher.facultyEscuela de Ciencias Aplicadas e Ingenieríaspa
dc.publisher.placeMedellínspa
dc.publisher.programMaestría en Ciencias de los Datos y Analíticaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAcceso abierto
dc.rights.localspa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subjectGobierno de datos analíticos
dc.subjectCaja de compensación familiar
dc.subjectGestión de datos
dc.subjectGobierno de datos
dc.subject.keywordAnalytics data governance
dc.subject.keywordFamily compensation funds
dc.subject.keywordData management
dc.subject.lembCIENCIA DE LA INFORMACIÓN
dc.subject.lembPROCESAMIENTO ELECTRÓNICO DE DATOS
dc.subject.lembTOMA DE DECISIONES
dc.titleTowards analytics data governance in family compensation funds in Colombia - Case Study
dc.typeinfo:eu-repo/semantics/masterThesis
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.localTesis de Maestríaspa
dc.type.localArtículospa
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication

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