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CRISP-DM/SMES : una metodología de proyectos de analítica de datos para las PYME
dc.contributor.advisor | Quintero, Juan Bernardo | |
dc.contributor.advisor | Manrique-Losada, Bell | |
dc.contributor.author | Montalvo García, Jhon Fredy | |
dc.coverage.spatial | Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | |
dc.date.accessioned | 2022-04-28T15:39:48Z | |
dc.date.available | 2022-04-28T15:39:48Z | |
dc.date.issued | 2021-08-24 | |
dc.identifier.other | CD-ROM 9044 2019 | |
dc.identifier.uri | http://hdl.handle.net/11407/6844 | |
dc.description | El aumento exponencial de la información debido al avance tecnológico y el desarrollo de las comunicaciones ha creado la necesidad de tomar decisiones basadas en el análisis de los datos. Por un lado, las empresas se ven en la necesidad de seguir metodologías de minería de datos – DA, para gestionar los grandes volúmenes de información con herramientas Big Data; tendencia que ha abierto las puertas hacia un nuevo enfoque de entendimiento y toma de decisiones. Por otro lado, existen las pequeñas y medianas empresas – PYME Sin Ánimo de Lucro – ESAL que realizan esfuerzos para abordar la analítica de datos según sus diversas fuentes y formas, encontrando desafíos como la falta de conocimiento en herramientas metodológicas y de software, que le permitan un despliegue oportuno para la toma de decisiones. En este trabajo se propone CRISP-DM/SMEs, una metodología de analítica de datos para PYME ESAL. El diseño de esta metodología está basado en CRISP-DM como marco de referencia, se representa con SPEM y se caracteriza por ser sencilla, flexible, y con bajo costo de implementación. La evaluación de la metodología se realizó bajo un marco comparativo y en la aplicación de un caso de estudio en una PYME ESAL donde los resultados fueron positivos en cada uno de los aspectos evaluados y demostró una disminución del esfuerzo durante la ejecución del proyecto DA en comparación con el proceso actual de la PYME y la línea base de referencia. | spa |
dc.description | The exponential increase in information due to technological progress and the development of communications has created the need to make decisions based on data analysis. On the one hand, companies are in need of following data mining methodologies - DA, to manage large volumes of information with Big Data tools; tren that has opened the doors to a new approach to understanding and decision making. On the other hand, there are small and medium-sized enterprises - Non-Profit SMEs, that make efforts to address data analytics according to their various sources and forms, finding challenges such as lack of knowledge in methodological tools and software, which allow for timely deployment for decision making. This paper proposes CRISP-DM / SMEs, a data analytics methodology for Non-Profit SMEs. The design of this methodology is based on CRISP-DM as a frame of reference, it is represented with SPEM and it is characterized by being simple, flexible, and with low cost of implementation. The evaluation of the methodology was carried out under a comparative framework and in the application of a case study in an Non-Profit SMEs where the results were positive in each of the aspects evaluated and demonstrated a decrease in effort during the execution of the DA project in comparison with the current process of the SME and the baseline of reference. | eng |
dc.format.extent | p. 1-133 | |
dc.format.medium | Electrónico | |
dc.format.mimetype | application/pdf | |
dc.language.iso | spa | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0 | * |
dc.subject | Analítica de datos | spa |
dc.subject | Crisp-DM | spa |
dc.subject | Pyme | spa |
dc.subject | ESAL | spa |
dc.subject | Data analytics | eng |
dc.subject | Crisp-DM | eng |
dc.subject | SME | eng |
dc.subject | Non-profit | eng |
dc.title | CRISP-DM/SMES : una metodología de proyectos de analítica de datos para las PYME | spa |
dc.rights.accessrights | info:eurepo/semantics/openAccess | |
dc.publisher.program | Maestría en Ingeniería de Software | spa |
dc.subject.lemb | Minería de datos | spa |
dc.subject.lemb | Organizaciones sin ánimo de lucro | spa |
dc.subject.lemb | Pequeña y mediana empresa | spa |
dc.subject.lemb | Procesamiento de datos | spa |
dc.relation.citationstartpage | 1 | |
dc.relation.citationendpage | 133 | |
dc.audience | Comunidad Universidad de Medellín | |
dc.publisher.faculty | Facultad de Ingenierías | spa |
dc.publisher.place | Medellín | |
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dc.rights.creativecommons | Attribution-NonCommercial-ShareAlike 4.0 International | * |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |
dc.type.local | Tesis de Maestría | |
dc.type.driver | info:eu-repo/semantics/masterThesis | |
dc.description.degreename | Magíster en Ingeniería de Software | spa |
dc.description.degreelevel | Maestría | spa |
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