Applying a business intelligence system in a big data context: production companies
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, but of regions, countries and continents in the short, medium and long term....
- Autores:
-
Silva, Jesús
Gaitán, Mercedes
Varela, Noel
MALDONADO PEREZ, DOYREG
Pineda Lezama, Omar Bonerge
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6191
- Acceso en línea:
- https://hdl.handle.net/11323/6191
https://repositorio.cuc.edu.co/
- Palabra clave:
- Industry 4.0
Big Data
Business Intelligence (BI)
Food industry
ERP systems
- Rights
- openAccess
- License
- CC0 1.0 Universal
| id |
RCUC2_2aba1bffc3750aece687765ff15ad58f |
|---|---|
| oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/6191 |
| network_acronym_str |
RCUC2 |
| network_name_str |
REDICUC - Repositorio CUC |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Applying a business intelligence system in a big data context: production companies |
| title |
Applying a business intelligence system in a big data context: production companies |
| spellingShingle |
Applying a business intelligence system in a big data context: production companies Industry 4.0 Big Data Business Intelligence (BI) Food industry ERP systems |
| title_short |
Applying a business intelligence system in a big data context: production companies |
| title_full |
Applying a business intelligence system in a big data context: production companies |
| title_fullStr |
Applying a business intelligence system in a big data context: production companies |
| title_full_unstemmed |
Applying a business intelligence system in a big data context: production companies |
| title_sort |
Applying a business intelligence system in a big data context: production companies |
| dc.creator.fl_str_mv |
Silva, Jesús Gaitán, Mercedes Varela, Noel MALDONADO PEREZ, DOYREG Pineda Lezama, Omar Bonerge |
| dc.contributor.author.spa.fl_str_mv |
Silva, Jesús Gaitán, Mercedes Varela, Noel MALDONADO PEREZ, DOYREG Pineda Lezama, Omar Bonerge |
| dc.subject.spa.fl_str_mv |
Industry 4.0 Big Data Business Intelligence (BI) Food industry ERP systems |
| topic |
Industry 4.0 Big Data Business Intelligence (BI) Food industry ERP systems |
| description |
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, but of regions, countries and continents in the short, medium and long term. Thus, it is no surprise that governments such as the United States and the European Commission are already taking this into consideration in the development of their industrial policies. This article presents a case of the implementation of a BI system in an industrial food environment with Big Data characteristics in which information from various sources is combined to provide information that improves the decision-making of the controls. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-04-15T17:09:45Z |
| dc.date.available.none.fl_str_mv |
2020-04-15T17:09:45Z |
| dc.date.issued.none.fl_str_mv |
2020-01-07 |
| dc.type.spa.fl_str_mv |
Pre-Publicación |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_816b |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/preprint |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| format |
http://purl.org/coar/resource_type/c_816b |
| status_str |
acceptedVersion |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/6191 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| url |
https://hdl.handle.net/11323/6191 https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.spa.fl_str_mv |
CC0 1.0 Universal |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.publisher.spa.fl_str_mv |
Universidad de la Costa |
| institution |
Corporación Universidad de la Costa |
| bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstreams/66054245-c3da-4f92-84fd-b2cea4dd27fb/download https://repositorio.cuc.edu.co/bitstreams/121a4fb6-b64c-41ff-82b5-8debfbcfb074/download https://repositorio.cuc.edu.co/bitstreams/ef8d74b8-94e4-4a4c-aee6-f4f243609121/download https://repositorio.cuc.edu.co/bitstreams/dbd4ece6-46f2-4573-addf-df09530493e7/download https://repositorio.cuc.edu.co/bitstreams/bece5996-db01-4115-b014-e5c73ea98bd9/download |
| bitstream.checksum.fl_str_mv |
a5643c65b6aab5015bbcc523d90def95 42fd4ad1e89814f5e4a476b409eb708c 8a4605be74aa9ea9d79846c1fba20a33 44603b878f6571f7db21cbe325837f5a 5dcd7ff0a8216f6225d4ba3e7130898b |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio de la Universidad de la Costa CUC |
| repository.mail.fl_str_mv |
repdigital@cuc.edu.co |
| _version_ |
1811760710952157184 |
| spelling |
Silva, JesúsGaitán, MercedesVarela, NoelMALDONADO PEREZ, DOYREGPineda Lezama, Omar Bonerge2020-04-15T17:09:45Z2020-04-15T17:09:45Z2020-01-07https://hdl.handle.net/11323/6191Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, but of regions, countries and continents in the short, medium and long term. Thus, it is no surprise that governments such as the United States and the European Commission are already taking this into consideration in the development of their industrial policies. This article presents a case of the implementation of a BI system in an industrial food environment with Big Data characteristics in which information from various sources is combined to provide information that improves the decision-making of the controls.Silva, JesúsGaitán, MercedesVarela, NoelMALDONADO PEREZ, DOYREG-will be generated-orcid-0000-0001-7448-654X-600Pineda Lezama, Omar BonergeengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Industry 4.0Big DataBusiness Intelligence (BI)Food industryERP systemsApplying a business intelligence system in a big data context: production companiesPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALApplying a Business Intelligence System in a Big Data Context.pdfApplying a Business Intelligence System in a Big Data Context.pdfapplication/pdf103853https://repositorio.cuc.edu.co/bitstreams/66054245-c3da-4f92-84fd-b2cea4dd27fb/downloada5643c65b6aab5015bbcc523d90def95MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/121a4fb6-b64c-41ff-82b5-8debfbcfb074/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/ef8d74b8-94e4-4a4c-aee6-f4f243609121/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILApplying a Business Intelligence System in a Big Data Context.pdf.jpgApplying a Business Intelligence System in a Big Data Context.pdf.jpgimage/jpeg45687https://repositorio.cuc.edu.co/bitstreams/dbd4ece6-46f2-4573-addf-df09530493e7/download44603b878f6571f7db21cbe325837f5aMD54TEXTApplying a Business Intelligence System in a Big Data Context.pdf.txtApplying a Business Intelligence System in a Big Data Context.pdf.txttext/plain1064https://repositorio.cuc.edu.co/bitstreams/bece5996-db01-4115-b014-e5c73ea98bd9/download5dcd7ff0a8216f6225d4ba3e7130898bMD5511323/6191oai:repositorio.cuc.edu.co:11323/61912024-09-17 10:45:12.698http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |