{"id":5152,"date":"2024-10-10T10:58:15","date_gmt":"2024-10-10T08:58:15","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/projects\/raise\/"},"modified":"2025-10-15T11:13:19","modified_gmt":"2025-10-15T09:13:19","slug":"raise","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/ca\/projects\/raise\/","title":{"rendered":"RAISE"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.27.2&#8243; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;0px||||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.27.2&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Model predictiu per al flux de transport ferroviari de mercaderies<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;||0em||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Client<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=&#8221;fila-clientes&#8221; _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; custom_padding=&#8221;0em||2em||false|false&#8221; custom_css_free_form=&#8221;selector .et_pb_module{||  padding:0 1em;||  min-width:12%;||}&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;display:flex;||align-items:center;||flex-flow:wrap;;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/10\/logo-circle-group.webp&#8221; title_text=&#8221;logo-circle-group&#8221; url=&#8221;https:\/\/www.circlegroup.eu\/it\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; width=&#8221;120px&#8221; max_width=&#8221;120px&#8221; custom_css_main_element=&#8221;max-width:fit-content;&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.27.2&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;||1em||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>El problema<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>L\u2019objectiu d\u2019aquest projecte \u00e9s aplicar i aprofitar t\u00e8cniques de modelatge predictiu per extreure informaci\u00f3 valuosa que gui\u00ef els processos de presa de decisions i permeti comprendre clarament la situaci\u00f3 del port pel que fa als fluxos de transport ferroviari de mercaderies. El focus se centra a transformar les dades disponibles en intel\u00b7lig\u00e8ncia accionable, facilitant l\u2019anticipaci\u00f3 de resultats rellevants per a una presa de decisions informada dins del context donat.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; custom_margin=&#8221;||1em||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>La soluci\u00f3<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_line_height=&#8221;1.6em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Estem desenvolupant una soluci\u00f3 integral de big data estructurada en quatre nivells per satisfer els requisits i necessitats del projecte.<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li>An\u00e0lisi de dades i detecci\u00f3 de patrons<\/li>\n<li>Model de predicci\u00f3 de retards<\/li>\n<li>Dashboard de predicci\u00f3<\/li>\n<li>Rail Analytics Suite<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>Els quatre nivells de la nostra soluci\u00f3 inclouen no nom\u00e9s l\u2019an\u00e0lisi explorat\u00f2ria de les dades brutes amb la detecci\u00f3 de patrons hist\u00f2rics i el desenvolupament del model de predicci\u00f3 de retards, sin\u00f3 tamb\u00e9 la representaci\u00f3 visual d\u2019aquestes activitats mitjan\u00e7ant un Dashboard de predicci\u00f3 i una Rail Analytics Suite com a sistema complet.<\/p>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/project-raise-image-1.webp&#8221; title_text=&#8221;project-raise-image-1&#8243; _builder_version=&#8221;4.27.2&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;1000px&#8221; module_alignment=&#8221;center&#8221; locked=&#8221;off&#8221; 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