Université Blida 1

Business Intelligence And Machine Learning Platform For Enhanced Project Management at SONATRACH

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dc.contributor.author Assameur, Aymen Abdechafi
dc.contributor.author Meguenni, Aymen
dc.contributor.author Chikhi, Nacim Fateh ( Promoteur)
dc.contributor.author Bouhidel, Sofiane ( Encadreuer)
dc.contributor.author Ould Khaoua, Toufik
dc.date.accessioned 2024-11-12T13:57:23Z
dc.date.available 2024-11-12T13:57:23Z
dc.date.issued 2024-07-02
dc.identifier.uri https://di.univ-blida.dz/jspui/handle/123456789/33336
dc.description ill., Bibliogr. Cote:ma-004-1028 fr_FR
dc.description.abstract Since 1963, Sonatrach has been the leading gas and petroleum company in Algeria. As part of its digital transformation efforts, Sonatrach identified the need for a modernized project management system to enhance operational efficiency and data security. This thesis presents a comprehensive web platform tailored to Sonatrach’s needs, integrating Business Intelligence (BI) and Machine Learning (ML) technologies. Our solution features dynamic BI dashboards with Tableau for improved decision-making and ML models for project classification. The platform streamlines information flow, improves data accessibility, and ensures robust data security, positioning Sonatrach ahead in the competitive petroleum industry. This work underscores the transformative potential of modern technologies in project management and offers a foundation for future enhancements. Keywords: Business Intelligence, Machine Learning, Project Management, Sonatrach, Digital Transformation, Dashboards, Web Platform, Tableau fr_FR
dc.language.iso en fr_FR
dc.publisher Université Blida 1 fr_FR
dc.subject Business Intelligence fr_FR
dc.subject Machine Learning fr_FR
dc.subject Project Management fr_FR
dc.subject Sonatrach fr_FR
dc.subject Digital Transformation fr_FR
dc.subject Dashboards fr_FR
dc.subject Web Platform fr_FR
dc.subject Tableau fr_FR
dc.title Business Intelligence And Machine Learning Platform For Enhanced Project Management at SONATRACH fr_FR
dc.type Thesis fr_FR


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