Business intelligence in decision-support on communications: Describing a case

Bibliographic Details
Main Author: Mendes, Armando B.
Publication Date: 2018
Other Authors: Alfaro, Paulo Jorge, Ferreira, Aires
Format: Article
Language: por
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://doi.org/10.34627/rcc.v3i0.70
Summary: This project addresses decisions of investment on communication infrastructures in Electricidade dos Açores (EDA), the local Electric Company in the Azores Islands. The main decision was that EDA communications should be moving to Voice over IP (VoIP) from present telephone lines, outsourced to an external communications company. At the beginning, a business intelligence project was set, with the objective of getting data from the communications company and analyzing it in order to offer useful information to decision makers. The system uses Microsoft SQL server technologies to establish an OnLine Analytical Processing (OLAP) application. It translates big CSV flat files in a ROLAP infrastructure and presents the results as multidimensional data cubes. Latter some data mining models were implemented and both techniques were incorporated in the CRISP-DM process model. Different models identified several inefficient procedures and even fraud situations as long as supporting the investment decision. These models as long as all the technology developed for gathering data, maintain an manage the OLAP cubes and data mining models were made available to control and strategic decision makers.
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spelling Business intelligence in decision-support on communications: Describing a caseBusiness Intelligence no Suporte a Decisões sobre Comunicações: Descrição de um CasoThis project addresses decisions of investment on communication infrastructures in Electricidade dos Açores (EDA), the local Electric Company in the Azores Islands. The main decision was that EDA communications should be moving to Voice over IP (VoIP) from present telephone lines, outsourced to an external communications company. At the beginning, a business intelligence project was set, with the objective of getting data from the communications company and analyzing it in order to offer useful information to decision makers. The system uses Microsoft SQL server technologies to establish an OnLine Analytical Processing (OLAP) application. It translates big CSV flat files in a ROLAP infrastructure and presents the results as multidimensional data cubes. Latter some data mining models were implemented and both techniques were incorporated in the CRISP-DM process model. Different models identified several inefficient procedures and even fraud situations as long as supporting the investment decision. These models as long as all the technology developed for gathering data, maintain an manage the OLAP cubes and data mining models were made available to control and strategic decision makers.O projecto descrito tem o objectivo de apoiar decisões de investimento em infraestruturas de comunicação na Electricidade Dos Açores (EDA), a empresa responsável pela geração, transporte e venda de corrente eléctrica na Região Autónoma dos Açores. A decisão imediata a apoiar consistia em saber se as comunicações entre ilhas deveriam passar para tecnologias Voice over IP (VoIP), um serviço actualmente contratado em regime de outsourcing. Foi estabelecido um projecto de business intelligence, usando tecnologias OLAP do Microsoft SQL Server, para ler e pré-processar os ficheiros CSV de grande dimensão, combinar esses dados com bases de dados existentes e apresentar os resultados sobre a forma de cubos multidimensionais. Posteriormente, implementaram-se igualmente algoritmos de data mining, integrando na metodologia CRISP-DM as duas técnicas utilizadas. Construindo vários modelos foi possível, além de apoiar a decisão pretendida, identificar situações ineficientes e mesmo fraudulentas. Os modelos construídos foram ainda disponibilizados aos decisores estratégicos e de controlo, assim como toda a estrutura de reutilização, manutenção e realimentação que suporta o OLAP e os modelos de data mining.Universidade Aberta2018-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.34627/rcc.v3i0.70oai:ojs2.journals.uab.pt:article/70Revista de Ciências da Computação; v. 3 (2008); 23-372182-18011646-633010.34627/rcc.v3i0reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPporhttps://journals.uab.pt/index.php/rcc/article/view/70https://doi.org/10.34627/rcc.v3i0.70https://journals.uab.pt/index.php/rcc/article/view/70/86Direitos de Autor (c) 2018 Universidade Abertainfo:eu-repo/semantics/openAccessMendes, Armando B.Alfaro, Paulo JorgeFerreira, Aires2022-10-25T11:31:53Zoai:ojs2.journals.uab.pt:article/70Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T10:34:10.308228Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Business intelligence in decision-support on communications: Describing a case
Business Intelligence no Suporte a Decisões sobre Comunicações: Descrição de um Caso
title Business intelligence in decision-support on communications: Describing a case
spellingShingle Business intelligence in decision-support on communications: Describing a case
Mendes, Armando B.
title_short Business intelligence in decision-support on communications: Describing a case
title_full Business intelligence in decision-support on communications: Describing a case
title_fullStr Business intelligence in decision-support on communications: Describing a case
title_full_unstemmed Business intelligence in decision-support on communications: Describing a case
title_sort Business intelligence in decision-support on communications: Describing a case
author Mendes, Armando B.
author_facet Mendes, Armando B.
Alfaro, Paulo Jorge
Ferreira, Aires
author_role author
author2 Alfaro, Paulo Jorge
Ferreira, Aires
author2_role author
author
dc.contributor.author.fl_str_mv Mendes, Armando B.
Alfaro, Paulo Jorge
Ferreira, Aires
description This project addresses decisions of investment on communication infrastructures in Electricidade dos Açores (EDA), the local Electric Company in the Azores Islands. The main decision was that EDA communications should be moving to Voice over IP (VoIP) from present telephone lines, outsourced to an external communications company. At the beginning, a business intelligence project was set, with the objective of getting data from the communications company and analyzing it in order to offer useful information to decision makers. The system uses Microsoft SQL server technologies to establish an OnLine Analytical Processing (OLAP) application. It translates big CSV flat files in a ROLAP infrastructure and presents the results as multidimensional data cubes. Latter some data mining models were implemented and both techniques were incorporated in the CRISP-DM process model. Different models identified several inefficient procedures and even fraud situations as long as supporting the investment decision. These models as long as all the technology developed for gathering data, maintain an manage the OLAP cubes and data mining models were made available to control and strategic decision makers.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-05
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url https://doi.org/10.34627/rcc.v3i0.70
identifier_str_mv oai:ojs2.journals.uab.pt:article/70
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://journals.uab.pt/index.php/rcc/article/view/70
https://doi.org/10.34627/rcc.v3i0.70
https://journals.uab.pt/index.php/rcc/article/view/70/86
dc.rights.driver.fl_str_mv Direitos de Autor (c) 2018 Universidade Aberta
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rights_invalid_str_mv Direitos de Autor (c) 2018 Universidade Aberta
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dc.publisher.none.fl_str_mv Universidade Aberta
publisher.none.fl_str_mv Universidade Aberta
dc.source.none.fl_str_mv Revista de Ciências da Computação; v. 3 (2008); 23-37
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1646-6330
10.34627/rcc.v3i0
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