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Modelo basado en CRISP-DM extendido mediante prácticas de metodologías ágiles para proyectos medianos de analítica de datos

dc.contributor.advisorQuintero, Juan Bernardo
dc.contributor.advisorManrique Losada, Bell
dc.contributor.authorMavesoy Murcia, Cristian Daniel
dc.coverage.spatialLat: 06 15 00 N  degrees minutes  Lat: 6.2500  decimal degreesLong: 075 36 00 W  degrees minutes  Long: -75.6000  decimal degrees
dc.date.accessioned2021-04-20T18:35:57Z
dc.date.available2021-04-20T18:35:57Z
dc.date.created2019-09-18
dc.identifier.otherCD-ROM 9036 2018
dc.identifier.urihttp://hdl.handle.net/11407/6341
dc.descriptionLos proyectos de analítica de datos adquieren un papel importante en las organizaciones, apoyando la toma de decisiones, identificando oportunidades de mejora, mercados potenciales o para predecir el comportamiento de los clientes bajo algunas variables de entorno. Por lo tanto, se debe hacer énfasis en los procesos usados para este tipo de proyectos y adaptarlo a entornos ágiles, los cuales permitan realizar entregas tempranas, de valor e identificar amenazas del proyecto de forma oportuna lo antes posible. Este documento propone una metodología de analítica de datos en entornos ágiles llamada CRISP-DM Ágil para proyectos medianos, la cual se basa en CRISP-DM donde se detallan actividades específicas de proyectos e incluye prácticas de metodologías ágiles para realizar tableros de control o Dashboard y/o Reporting. El caso de estudio basado en un diseño experimental donde se comparan dos proyectos construidos en dos (2) universidades de la misma naturaleza, independiente de su tecnología, realizados usando el estándar CRISP-DM y CRISP-DM ÁGIL.
dc.format.extentp. 1-122
dc.format.mediumElectrónico
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0
dc.subjectCRISP-DM
dc.subjectAnalítica de datos
dc.subjectSPEM
dc.subjectÁgil
dc.subjectSCRUM
dc.titleModelo basado en CRISP-DM extendido mediante prácticas de metodologías ágiles para proyectos medianos de analítica de datos
dc.rights.accessrightsinfo:eurepo/semantics/openAccess
dc.publisher.programMaestría en Ingeniería de Software
dc.subject.lembIngeniería de software
dc.subject.lembMinería de datos
dc.subject.lembProcesamiento de datos
dc.relation.citationstartpage1
dc.relation.citationendpage122
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ingenierías
dc.publisher.placeMedellín
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dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesis de Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.description.degreenameMagíster en Ingeniería de Software
dc.description.degreelevelMaestría
dc.publisher.grantorUniversidad de Medellín


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