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How big data can enhance multi-utilities’ management?

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dc.contributor.author Feliciano, J. pt_BR
dc.contributor.author Almeida, R. pt_BR
dc.contributor.author Santos, A. pt_BR
dc.contributor.author Ganhão, A. pt_BR
dc.contributor.author Coelho, J. pt_BR
dc.contributor.author Covas, D. pt_BR
dc.contributor.author Alegre, H. pt_BR
dc.date.accessioned 2015-08-14T15:35:27Z pt_BR
dc.date.accessioned 2017-04-12T09:19:05Z
dc.date.available 2015-08-14T15:35:27Z pt_BR
dc.date.available 2017-04-12T09:19:05Z
dc.date.issued 2014-09-21 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1007491
dc.description.abstract Water 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.iso eng pt_BR
dc.publisher IWA WWC pt_BR
dc.rights openAccess pt_BR
dc.subject Dynamic platform pt_BR
dc.subject Performance assessment pt_BR
dc.subject Asset management pt_BR
dc.title How big data can enhance multi-utilities’ management? pt_BR
dc.type conferenceObject pt_BR
dc.description.pages 8 p pt_BR
dc.description.comments Comunicação apresentada no World Water Congress 2014, IWA, Lisboa 21-26 de Setembro. pt_BR
dc.identifier.local 21-26 Setembro Lisboa, Portugal pt_BR
dc.description.sector DHA/NES pt_BR
dc.identifier.conftitle World Water Congress 2014, IWA pt_BR
dc.contributor.peer-reviewed NAO pt_BR
dc.contributor.academicresearchers NAO pt_BR


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