{"id":9736,"date":"2015-04-03T12:11:21","date_gmt":"2015-04-03T11:11:21","guid":{"rendered":"https:\/\/www.igo.fr\/use-case-risk-management-predict-services\/"},"modified":"2025-07-21T14:09:26","modified_gmt":"2025-07-21T13:09:26","slug":"use-case-risk-management-predict-services","status":"publish","type":"post","link":"https:\/\/www.igo.fr\/en\/use-case-risk-management-predict-services\/","title":{"rendered":"Use Case Risk Management – Predict Services"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” constrain_group_7=”yes” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][nectar_highlighted_text color_type=”gradient” highlight_color=”#307fe0″ secondary_color=”#c7ebe5″ style=”regular_underline” highlight_expansion=”default” underline_thickness=”4px”]\n

A service for 22,000 municipalities<\/em><\/h2>\n[\/nectar_highlighted_text][vc_column_text css_animation=”bottom-to-top”]Predict Services (a subsidiary of Airbus D&S, M\u00e9t\u00e9o France and BRL-Ing\u00e9nierie) works with 22,000 municipalities in France and the French overseas departments and territories, providing them with a flood risk prevention service in the event of a rainstorm forecast by M\u00e9t\u00e9o France.<\/p>\n

Predict Service wanted to equip itself with a real-time 3D Web platform to help with flood risk management and prevention, and chose IGO to develop, host, maintain and upgrade it.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”3%” constrain_group_7=”yes” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][nectar_highlighted_text color_type=”gradient” highlight_color=”#307fe0″ secondary_color=”#c7ebe5″ style=”regular_underline” highlight_expansion=”default” underline_thickness=”4px”]\n

How IGO helps Predict with a collaborative 3D platform<\/em><\/h2>\n[\/nectar_highlighted_text][vc_column_text css_animation=”bottom-to-top”]To meet this need, IGO has developed a tailor-made solution and offers to host the platform.
\nThe Predict Observer and Analyser tools developed are based on a database composed of various geographical data (IGN, Opendata…) and M\u00e9t\u00e9o France data.<\/p>\n

The software processes files received in real time to analyze rainfall data:<\/p>\n

    \n
  • Query water “waves” and view archived waves (Predict Service has had all 15-minute waves since 2004).<\/li>\n
  • Calculation and display of rainfall totals. This allows you to display precipitation over a longer period (e.g. the amount of water that has fallen over the last 24 hours). <\/li>\n
  • Calculation and display of Hyetograms (graph representing the amount of rainfall over a given area) for a list of catchment areas.<\/li>\n
  • Management of historical references…<\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”3%” constrain_group_7=”yes” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][nectar_highlighted_text color_type=”gradient” highlight_color=”#307fe0″ secondary_color=”#c7ebe5″ style=”regular_underline” highlight_expansion=”default” underline_thickness=”4px”]\n

    Why Predict chose IGO<\/em><\/h2>\n[\/nectar_highlighted_text][vc_column_text css_animation=”bottom-to-top”]\n
    \n
    \n

    The biggest challenge in this development is to process the data in real time, so that multiple analyses can be carried out across France without the processing taking more than 5 minutes (otherwise the new blade arrives before the previous one has been processed).<\/p>\n

    The use of the Skyline solution combined with IGO’s 3D expertise made it possible to overcome this constraint.<\/p>\n

    Summary of IGO’s strengths on this project:<\/p>\n

      \n
    • Strong 3D expertise and Skyline’s advanced functionalities, including the API<\/li>\n
    • High-performance associated hosting service (99.9% annual availability) for the whole of France, using the IGN data repository.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”3%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][nectar_highlighted_text color_type=”gradient” highlight_color=”#307fe0″ secondary_color=”#c7ebe5″ style=”regular_underline” highlight_expansion=”default” underline_thickness=”4px”]\n

      Testimonial from Alix Roumagnac, CEO of Predict Services<\/em><\/h2>\n[\/nectar_highlighted_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_row_inner column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”padding-3-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”top-bottom” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”center” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” overflow=”visible” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” gradient_type=”default”][vc_video link=”https:\/\/youtu.be\/vJ0OBZD2Tlg”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

      [vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” constrain_group_7=”yes” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″…<\/p>\n","protected":false},"author":5,"featured_media":9464,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[202],"tags":[],"class_list":{"0":"post-9736","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-projects"},"acf":[],"yoast_head":"\nUse Case Risk Management - Predict Services - IGO<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.igo.fr\/en\/use-case-risk-management-predict-services\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Use Case Risk Management - 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