Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin

Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at...

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Main Authors: Paola Gasbarri, Daniele Accardo, Elisa Cacciaguerra, Silvia Meschini, Lavinia Chiara Tagliabue
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/13/3/65
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author Paola Gasbarri
Daniele Accardo
Elisa Cacciaguerra
Silvia Meschini
Lavinia Chiara Tagliabue
author_facet Paola Gasbarri
Daniele Accardo
Elisa Cacciaguerra
Silvia Meschini
Lavinia Chiara Tagliabue
author_sort Paola Gasbarri
collection DOAJ
description Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings’ distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted.
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spelling doaj.art-7e908daa50004d3cb040e035a11a3ee02024-03-27T13:44:50ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-02-011336510.3390/ijgi13030065Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of TurinPaola Gasbarri0Daniele Accardo1Elisa Cacciaguerra2Silvia Meschini3Lavinia Chiara Tagliabue4Department of Computer Science, University of Turin, 10149 Turin, ItalyDepartment of Management “Valter Cantino”, University of Turin, 10134 Turin, ItalyDepartment of Management “Valter Cantino”, University of Turin, 10134 Turin, ItalyDepartment of Computer Science, University of Turin, 10149 Turin, ItalyDepartment of Computer Science, University of Turin, 10149 Turin, ItalyDespite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings’ distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted.https://www.mdpi.com/2220-9964/13/3/65GISresources managementpolicy evaluationdata modellingdata visualizationbusiness intelligence
spellingShingle Paola Gasbarri
Daniele Accardo
Elisa Cacciaguerra
Silvia Meschini
Lavinia Chiara Tagliabue
Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
ISPRS International Journal of Geo-Information
GIS
resources management
policy evaluation
data modelling
data visualization
business intelligence
title Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
title_full Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
title_fullStr Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
title_full_unstemmed Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
title_short Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin
title_sort supporting asset management with gis and business intelligence technologies the case study of the university of turin
topic GIS
resources management
policy evaluation
data modelling
data visualization
business intelligence
url https://www.mdpi.com/2220-9964/13/3/65
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