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dc.contributor.authorFeliciano, J.pt_BR
dc.contributor.authorAlmeida, R.pt_BR
dc.contributor.authorSantos, A.pt_BR
dc.contributor.authorGanhão, A.pt_BR
dc.contributor.authorCoelho, J.pt_BR
dc.contributor.authorCovas, D.pt_BR
dc.contributor.authorAlegre, H.pt_BR
dc.date.accessioned2015-08-14T15:35:27Zpt_BR
dc.date.accessioned2017-04-12T09:19:05Z-
dc.date.available2015-08-14T15:35:27Zpt_BR
dc.date.available2017-04-12T09:19:05Z-
dc.date.issued2014-09-21pt_BR
dc.identifier.urihttps://repositorio.lnec.pt/jspui/handle/123456789/1007491-
dc.description.abstractWater utilities sustainable management is nowadays a leading challenge in which data management and information analysis play a key role. Data generated is too many, moves too fast and is too diverse. As other cases of big-data, innovative information processing forms are needed to enhance organization’s management. AGS (Administração e Gestão de Sistemas de Salubridade, SA) is a multi-utility operator that manages 13 water utilities with long-term concession agreements. For water utilities, efficiency and effectiveness of systems’ management and its inherent quality of service require complex information that has been increasingly reinforced with legal obligations in developing infrastructure asset management (IAM) plans. These requirements added with reporting commitments with different entities led AGS to a step forward in data management. To support data supervision and advanced analytics AGS developed a technological tool – AGS platform. Based on big-data concepts and benchmarking principles this platform enables a complete vision of utilities and promotes different perspectives in systems’ performance and management. The present paper describes AGS approach to information analysis and the platform’s development process. Following IAM concerns and having the platform as support to evaluate Portuguese utilities’ data, a case study regarding the relation between rehabilitation investments and systems’ performance, in terms of non-revenue water, was analysed.pt_BR
dc.language.isoengpt_BR
dc.publisherIWA WWCpt_BR
dc.rightsopenAccesspt_BR
dc.subjectDynamic platformpt_BR
dc.subjectPerformance assessmentpt_BR
dc.subjectAsset managementpt_BR
dc.titleHow big data can enhance multi-utilities’ management?pt_BR
dc.typeconferenceObjectpt_BR
dc.description.pages8 ppt_BR
dc.description.commentsComunicação apresentada no World Water Congress 2014, IWA, Lisboa 21-26 de Setembro.pt_BR
dc.identifier.local21-26 Setembro Lisboa, Portugalpt_BR
dc.description.sectorDHA/NESpt_BR
dc.identifier.conftitleWorld Water Congress 2014, IWApt_BR
dc.contributor.peer-reviewedNAOpt_BR
dc.contributor.academicresearchersNAOpt_BR
Appears in Collections:DHA/NES - Comunicações a congressos e artigos de revista

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