Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103747
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBRUM, L. M. da L.
dc.contributor.authorLAMPERT, V. do N.
dc.contributor.authorCAMARGO, S. da S.
dc.contributor.otherLuciano Moraes da Luz Brum, UNIPAMPA; VINICIUS DO NASCIMENTO LAMPERT, CPPSUL; Sandro da Silva Camargo, UNIPAMPA.
dc.date.accessioned2019-01-12T23:36:17Z-
dc.date.available2019-01-12T23:36:17Z-
dc.date.created2019-01-11
dc.date.issued2019
dc.identifier.other14513
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1103747-
dc.descriptionBusiness Intelligence with Data Warehouse technologies are known in the literature as solutions that allow access to business data dynamically and analytical operations on them. Scientific literature lacks works that investigate the current use of these technologies in the agrarian sector, at the international level in the last 10 years. This work presents a bibliometric analysis, which was done through the ProKnow-C methodology, of the application of Business Intelligence and Data Warehouse technologies in the agrarian sector. The objective is to investigate the dissemination of such technologies in this sector in national and international scale. The main findings were the following: number of papers in last years are increasing. Majority of papers were found in the journal named Computers and Eletronics in Agriculture, with a great number of colaborations between authors of France. Few colaborations between authors from different countries were found. Sandro Bimonte was the most cited author. France and India highlight in researches approaching Data Warehouse and Business Intelligence usage in agrarian sciences. The majority of references from Bibliographic Portfolio were from 2001-2010. 66% of papers use some open source technology. Star schema is the most used modelling technique and the use of Unified Modeling Language by authors of France in agricultural Data Warehouse modelling is encouraged. The main limitations were the impossibility of free access in some databases, absence of research on proprietary solutions of technology market in the rural sector and few number of keyword searches.
dc.description.uribitstream/item/190336/1/Brum-et-al.pdfpor
dc.languageen
dc.language.isoengeng
dc.publisherJournal of Agricultural Science, v. 11, n. 2, 353-368, 2019.
dc.relation.ispartofEmbrapa Pecuária Sul - Artigo em periódico indexado (ALICE)
dc.titleBusiness intelligence and data warehouse in agrarian sector: a bibliometric study.
dc.typeArtigo em periódico indexado (ALICE)
dc.date.updated2019-01-12T23:36:17Zpor
dc.subject.thesagroAgricultura
dc.subject.thesagroPrograma de Computador
dc.ainfo.id1103747
dc.ainfo.lastupdate2019-01-11
Appears in Collections:Artigo em periódico indexado (CPPSUL)

Files in This Item:
File Description SizeFormat 
Brumetal.pdf3,85 MBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace