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dc.contributor.authorAbrane, Nardjes-
dc.contributor.authorKacha, Selsebile-
dc.contributor.otherArki, Oussama, Directeur de thèse-
dc.contributor.otherMessaoui, Kahina, Directeur de thèse-
dc.date.accessioned2025-11-11T13:49:38Z-
dc.date.available2025-11-11T13:49:38Z-
dc.date.issued2025-
dc.identifier.otherEP00971-
dc.identifier.urihttp://repository.enp.edu.dz/jspui/handle/123456789/11321-
dc.descriptionMémoire de Projet de Fin d’Études : Génie Industriel.Date Science et intelligence artificiel : Alger, École Nationale Polytechnique : 2025fr_FR
dc.description.abstractThis project proposes a comprehensive digital transformation framework to address systemic challenges in Société Générale Algérie's Finance Division, including manual process dependencies and poor system integration. The solution integrates four interconnected projects: a comprehensive procurement analytics dashboard providing strategic insights, an AI-powered intelligent invoice processing system for process automation, a knowledge management system leveraging historical data, and a predictive budget optimization system using machine learning algorithms for enhanced financial planning. This transformation aims to shift from reactive operational models to intelligent, predictive management, improving straight-through processing and enhancing operational efficiency, accuracy, and financial control.fr_FR
dc.language.isoenfr_FR
dc.subjectDigital transformationfr_FR
dc.subjectArtificial intelligencefr_FR
dc.subjectInvoice processingfr_FR
dc.subjectPredictive analyticfr_FR
dc.titleDevelopment of a data-driven strategy for bank expenses optimizationfr_FR
dc.typeThesisfr_FR
Collection(s) :Département Génie industriel : Data Science_Intelligence Artificielle

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