Data analytics and digital learning as tools for decision- making in scientific and technological research institutions

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The results obtained from the design and implementation of an indicator system are presented in this document. This system analyzes the information from a responsive platform that displays the technological, research, and human resources training potential of the 493 national laboratories, universit...

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Detalles Bibliográficos
Autores: Sámano Castillo, José, Hernández Juárez, Luis
Formato: artículo
Fecha de Publicación:2024
Institución:Pontificia Universidad Católica del Perú
Repositorio:Revistas - Pontificia Universidad Católica del Perú
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/29793
Enlace del recurso:http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793
Nivel de acceso:acceso abierto
Materia:Business analytics
Business intelligence
Indicadores (KPI’s)
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spelling Data analytics and digital learning as tools for decision- making in scientific and technological research institutionsLa analítica de datos y el aprendizaje digital como herramientas para la toma de decisiones en instituciones de investigación científica y tecnológicaSámano Castillo, JoséHernández Juárez, LuisBusiness analyticsBusiness intelligenceIndicadores (KPI’s)The results obtained from the design and implementation of an indicator system are presented in this document. This system analyzes the information from a responsive platform that displays the technological, research, and human resources training potential of the 493 national laboratories, university laboratories, and support units of the National Autonomous University of Mexico (UNAM). The performance indicator system uses the platform's database to monitor, analyze, and reveal the advantages achieved over time. It incorporates a cutting-edge business intelligence and analytics tool: Microsoft PowerBI®, which allows for advanced visualization, segmentation, KPIs, interactive graphs with depth and aggregation levels, key statistics, and optimization. The system is responsive for five categories: capabilities, equipment, personnel, communication, and forecasts. It includes 45 simple KPIs and a section for forecasts (machine learning) to leverage the information generated in the last seven years. Se presentan los resultados obtenidos del disen?o e implementacio?n de un sistema de indicadores, el cual analiza la informacio?n de una plataforma responsiva que muestra el potencial tecnolo?gico, de investigacio?n y formacio?n de recursos humanos con que cuentan los 493 laboratorios nacionales, universitarios y unidades de apoyo de la Universidad Nacional Auto?noma de Me?xico (UNAM). El sistema de indicadores de desempen?o utiliza la base de datos de la plataforma para monitorear, analizar y revelar las ventajas conseguidas en el tiempo, para lo que incorpora una herramienta de vanguardia en business intelligence y analytics: Microsoft Power BI®, con el que se logro? la visualizacio?n avanzada, segmentacio?n, KPI’s, gra?ficos interactivos con nivel de profundidad y agregacio?n, estadi?sticas clave y optimizacio?n. El sistema es responsivo para cinco categori?as: capacidades, equipamiento, personal, comunicacio?n y prono?sticos, asi? como 45 KPI’s simples y una seccio?n de prono?sticos (machine learning), para aprovechar la informacio?n generada los u?ltimos siete an?os. Pontificia Universidad Católica del Perú2024-10-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/epub+ziphttp://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793360: Revista de Ciencias de la Gestión; Núm. 9 (2024)2518-04952415-5861reponame:Revistas - Pontificia Universidad Católica del Perúinstname:Pontificia Universidad Católica del Perúinstacron:PUCPspahttp://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793/26808http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793/26818info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/297932025-01-15T18:01:37Z
dc.title.none.fl_str_mv Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
La analítica de datos y el aprendizaje digital como herramientas para la toma de decisiones en instituciones de investigación científica y tecnológica
title Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
spellingShingle Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
Sámano Castillo, José
Business analytics
Business intelligence
Indicadores (KPI’s)
title_short Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
title_full Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
title_fullStr Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
title_full_unstemmed Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
title_sort Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
dc.creator.none.fl_str_mv Sámano Castillo, José
Hernández Juárez, Luis
author Sámano Castillo, José
author_facet Sámano Castillo, José
Hernández Juárez, Luis
author_role author
author2 Hernández Juárez, Luis
author2_role author
dc.subject.none.fl_str_mv Business analytics
Business intelligence
Indicadores (KPI’s)
topic Business analytics
Business intelligence
Indicadores (KPI’s)
description The results obtained from the design and implementation of an indicator system are presented in this document. This system analyzes the information from a responsive platform that displays the technological, research, and human resources training potential of the 493 national laboratories, university laboratories, and support units of the National Autonomous University of Mexico (UNAM). The performance indicator system uses the platform's database to monitor, analyze, and reveal the advantages achieved over time. It incorporates a cutting-edge business intelligence and analytics tool: Microsoft PowerBI®, which allows for advanced visualization, segmentation, KPIs, interactive graphs with depth and aggregation levels, key statistics, and optimization. The system is responsive for five categories: capabilities, equipment, personnel, communication, and forecasts. It includes 45 simple KPIs and a section for forecasts (machine learning) to leverage the information generated in the last seven years.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-18
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793
url http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793/26808
http://revistas.pucp.edu.pe/index.php/360gestion/article/view/29793/26818
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/epub+zip
dc.publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
publisher.none.fl_str_mv Pontificia Universidad Católica del Perú
dc.source.none.fl_str_mv 360: Revista de Ciencias de la Gestión; Núm. 9 (2024)
2518-0495
2415-5861
reponame:Revistas - Pontificia Universidad Católica del Perú
instname:Pontificia Universidad Católica del Perú
instacron:PUCP
instname_str Pontificia Universidad Católica del Perú
instacron_str PUCP
institution PUCP
reponame_str Revistas - Pontificia Universidad Católica del Perú
collection Revistas - Pontificia Universidad Católica del Perú
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Data analytics and digital learning as tools for decision- making in scientific and technological research institutions
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