Big Data Technology for monitoring ICT service data

Autores
Caiafa, Marcelo Dante; Aurelio, Ariel; Busto, Adrian Marcelo
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Data analysis has become an important source of knowledge for organizations. An adequate treatment allows to obtain valuable information. Its massive processing is possible from Big Data technologies. The work is based on the use of an open source platform for the processing of files generated by the communication systems of a mass service institution with three hundred branches that serves more than two million customers. The research addresses the need to consolidate results that add value to decision-making and improve the operational efficiency of information and communication technology (ICT) services. The objective is the development of a control panel based on measurement of key indicators. It will allow the monitoring of its operating costs and the level of quality of customer care. For this, the ELK (Elasticsearch-Logst ash-Kibana) set is used, fed with the call detail records known as CDR (Call Detail Records).
Facultad de Informática
Materia
Ciencias Informáticas
Big Data
ICT
CDR
ELK
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125160
Acceder
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network_name_str SEDICI (UNLP)
spelling Big Data Technology for monitoring ICT service dataCaiafa, Marcelo DanteAurelio, ArielBusto, Adrian MarceloCiencias InformáticasBig DataICTCDRELKData analysis has become an important source of knowledge for organizations. An adequate treatment allows to obtain valuable information. Its massive processing is possible from Big Data technologies. The work is based on the use of an open source platform for the processing of files generated by the communication systems of a mass service institution with three hundred branches that serves more than two million customers. The research addresses the need to consolidate results that add value to decision-making and improve the operational efficiency of information and communication technology (ICT) services. The objective is the development of a control panel based on measurement of key indicators. It will allow the monitoring of its operating costs and the level of quality of customer care. For this, the ELK (Elasticsearch-Logst ash-Kibana) set is used, fed with the call detail records known as CDR (Call Detail Records).Facultad de Informática2021info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf64-68http://sedici.unlp.edu.ar/handle/10915/125160enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4info:eu-repo/semantics/reference/hdl/10915/121564info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:02:13Zoai:sedici.unlp.edu.ar:10915/125160Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:02:13.926SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Big Data Technology for monitoring ICT service data
title Big Data Technology for monitoring ICT service data
spellingShingle Big Data Technology for monitoring ICT service data
Caiafa, Marcelo Dante
Ciencias Informáticas
Big Data
ICT
CDR
ELK
title_short Big Data Technology for monitoring ICT service data
title_full Big Data Technology for monitoring ICT service data
title_fullStr Big Data Technology for monitoring ICT service data
title_full_unstemmed Big Data Technology for monitoring ICT service data
title_sort Big Data Technology for monitoring ICT service data
dc.creator.none.fl_str_mv Caiafa, Marcelo Dante
Aurelio, Ariel
Busto, Adrian Marcelo
author Caiafa, Marcelo Dante
author_facet Caiafa, Marcelo Dante
Aurelio, Ariel
Busto, Adrian Marcelo
author_role author
author2 Aurelio, Ariel
Busto, Adrian Marcelo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Big Data
ICT
CDR
ELK
topic Ciencias Informáticas
Big Data
ICT
CDR
ELK
dc.description.none.fl_txt_mv Data analysis has become an important source of knowledge for organizations. An adequate treatment allows to obtain valuable information. Its massive processing is possible from Big Data technologies. The work is based on the use of an open source platform for the processing of files generated by the communication systems of a mass service institution with three hundred branches that serves more than two million customers. The research addresses the need to consolidate results that add value to decision-making and improve the operational efficiency of information and communication technology (ICT) services. The objective is the development of a control panel based on measurement of key indicators. It will allow the monitoring of its operating costs and the level of quality of customer care. For this, the ELK (Elasticsearch-Logst ash-Kibana) set is used, fed with the call detail records known as CDR (Call Detail Records).
Facultad de Informática
description Data analysis has become an important source of knowledge for organizations. An adequate treatment allows to obtain valuable information. Its massive processing is possible from Big Data technologies. The work is based on the use of an open source platform for the processing of files generated by the communication systems of a mass service institution with three hundred branches that serves more than two million customers. The research addresses the need to consolidate results that add value to decision-making and improve the operational efficiency of information and communication technology (ICT) services. The objective is the development of a control panel based on measurement of key indicators. It will allow the monitoring of its operating costs and the level of quality of customer care. For this, the ELK (Elasticsearch-Logst ash-Kibana) set is used, fed with the call detail records known as CDR (Call Detail Records).
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
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info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125160
url http://sedici.unlp.edu.ar/handle/10915/125160
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4
info:eu-repo/semantics/reference/hdl/10915/121564
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
64-68
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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