{"id":2579122,"date":"2024-11-12T16:57:20","date_gmt":"2024-11-13T00:57:20","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2579122"},"modified":"2024-11-15T13:05:46","modified_gmt":"2024-11-15T21:05:46","slug":"enhanced-data-management-supports-automated-intelligence-workflows","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows","title":{"rendered":"Enhanced Data Management Supports Automated Intelligence Workflows (Part 1)"},"author":356032,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23851,24641],"tags":[],"industry":[],"product":[421922],"class_list":["post-2579122","blog","type-blog","status-publish","format-standard","hentry","category-data-management","category-defense","product-arcgis"],"acf":{"authors":[{"ID":363862,"user_firstname":"Keara","user_lastname":"Mclean","nickname":"Keara Mclean","user_nicename":"kmclean","display_name":"Keara Mclean","user_email":"kmclean@esri.com","user_url":"","user_registered":"2024-10-22 17:59:20","user_description":"Keara McLean is a National Government Solution Engineer at Esri, supporting the Intel team. With experience in both state and national government, she has worked across transportation and intelligence sectors, focusing on projects ranging from environmental planning to imagery analysis. She is passionate about demonstrating the power of spatial thinking and using ArcGIS tools to create impactful, user-friendly solutions. Outside of work, she enjoys hiking, climbing, rowing, and being bossed around by her cattle dog.","user_avatar":""}],"short_description":"This blog explores how using ArcGIS as a data management system can transform intelligence operations.","flexible_content":[{"acf_fc_layout":"content","content":"

In the dynamic realm of defense and intelligence, the ability to swiftly and accurately interpret data is paramount. Effective data management enables the transformation of raw information into actionable intelligence, which is crucial for making informed decisions in high-stakes environments.<\/p>\n

This blog explores how using data management with ArcGIS Web Apps<\/strong> can transform intelligence operations. Leveraging advanced tools and methodologies streamlines data access, enhances collaboration, and supports automated analysis\u2014ultimately leading to more informed and timely actions in critical missions.<\/p>\n

Part 1 of this blog covers data management with ArcGIS System. Be sure to check out Part 2<\/a> to learn about Automating Workflows in Real-Time.<\/p>\n"},{"acf_fc_layout":"content","content":"

Simplify data access and sharing<\/h2>\n

Using ArcGIS Experience Builder<\/a>, we created a configured landing page where analysts tracking regional stability in the Indo-Pacific Theater can easily find the relevant data, tools, and products aligned with their mission. The landing page provides access to a regional data viewer where users can interact with different datasets in a web map<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2582452,"id":2582452,"title":"Gif1_LandingPage","filename":"Gif1_LandingPage.gif","filesize":9407914,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\/gif1_landingpage","alt":"GIF navigating the an Indo-Pacific Theatre Hub to explore a map","author":"356032","description":"","caption":"Custom data management page made with ArcGIS Experience Builder","name":"gif1_landingpage","status":"inherit","uploaded_to":2579122,"date":"2024-11-13 19:20:39","modified":"2024-11-13 19:22:42","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1366,"height":768,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","large-width":1366,"large-height":768,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","1536x1536-width":1366,"1536x1536-height":768,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","2048x2048-width":1366,"2048x2048-height":768,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif1_LandingPage.gif","wide_image-width":1366,"wide_image-height":768}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Leveraging ArcGIS as a data management system, users can explore and derive insights from categorized data within their area of interest (AOI). To understand what data our organization has access to, the Add Data widget in Experience Builder connects to collaborative groups in Portal for ArcGIS<\/a>, where others focused on this AOI have published data relevant to Indo-Pacific missions.\u00a0 Through the widget, users can pull different types of spatial information into the data viewer to build out their understanding of the operating environment, beginning the process of creating actionable intelligence.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2582492,"id":2582492,"title":"Gif2_AddData","filename":"Gif2_AddData.gif","filesize":3750670,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\/gif2_adddata","alt":"GIF clicking on the \"Add Data\" widget in the ArcGIS Experience Builder interface","author":"356032","description":"","caption":"Adding data to a web map using the Add Data widget in ArcGIS Experience Builder","name":"gif2_adddata","status":"inherit","uploaded_to":2579122,"date":"2024-11-13 19:24:56","modified":"2024-11-13 19:25:54","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData-1536x864.gif","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif2_AddData.gif","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Construct a survey with Generative AI<\/h2>\n

As we move into more analytical workflows, sometimes we need to request additional data to fill gaps in information.<\/p>\n

We chose to enable team members to request missing data by creating a survey using Survey123<\/a> and its new generative AI capabilities<\/a>. By inputting specifications for the information we wanted to capture, the AI, using large language models, provided a draft survey in seconds. \u00a0 <\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2582502,"id":2582502,"title":"Gif3_Survey123","filename":"Gif3_Survey123.gif","filesize":1506910,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\/gif3_survey123","alt":"GIF showing how to access the Survey123 Assistant to use generative AI in Survey123","author":"356032","description":"","caption":"Accessing the Survey123 Assistant to use generative AI in Survey123","name":"gif3_survey123","status":"inherit","uploaded_to":2579122,"date":"2024-11-13 19:26:36","modified":"2024-11-13 19:27:13","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1366,"height":768,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","large-width":1366,"large-height":768,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","1536x1536-width":1366,"1536x1536-height":768,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","2048x2048-width":1366,"2048x2048-height":768,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif3_Survey123.gif","wide_image-width":1366,"wide_image-height":768}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

We asked Survey123 to create a survey that allows respondents to:<\/p>\n

    \n
  1. Describe data they are looking for<\/li>\n
  2. Define potential sources of that information<\/li>\n
  3. Identify an area of interest on a map<\/li>\n
  4. Indicate the urgency of their request<\/li>\n<\/ol>\n

    After reviewing the initial draft, we prompted the AI Assistant to make some adjustments, such as marking certain questions as \u201crequired.\u201d<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2582512,"id":2582512,"title":"Gif4_AdjustSurvey","filename":"Gif4_AdjustSurvey.gif","filesize":8516977,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\/gif4_adjustsurvey","alt":"GIF showing how to adjust a survey with the Survey123 Assistant","author":"356032","description":"","caption":"Adjusting a draft survey with the Survey123 Assistant","name":"gif4_adjustsurvey","status":"inherit","uploaded_to":2579122,"date":"2024-11-13 19:27:42","modified":"2024-11-13 19:28:25","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1366,"height":768,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","large-width":1366,"large-height":768,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","1536x1536-width":1366,"1536x1536-height":768,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","2048x2048-width":1366,"2048x2048-height":768,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Gif4_AdjustSurvey.gif","wide_image-width":1366,"wide_image-height":768}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    The finalized, published survey was integrated directly into our web map interface, allowing analysts on the Indo-Pacific monitoring team to submit new requests seamlessly. The submitted requests are sent to our organization\u2019s data steward, who integrates the requested data into our shared content using group sharing capabilities in ArcGIS.<\/a><\/p>\n

    Integrate external data sources automatically<\/h2>\n

    Once gaps in data have been identified and new information requested to fill them, we can automate the task<\/a> of pulling data from external souces using ArcGIS Notebooks<\/a> and ArcGIS API for Python<\/a>.<\/p>\n

    The open source GDELT (Global Database of Events, Language, and Tone<\/a>) event data captures events by monitoring news media across a variety of platforms.\u00a0 We queried GDELT\u2019s API and created a feature layer in our portal from the response. GDELT updates this data on a 15-minute interval, so we scheduled a Notebook task to run every 15 minutes, updating the associated feature layer with the most recent GDELT reporting. The feature layer is then shared to a group, making the dynamic, conditioned dataset available at a programmatic level\u2014all automatically.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2582532,"id":2582532,"title":"Screenshot1_NotebookTask","filename":"Screenshot1_NotebookTask.png","filesize":57964,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\/screenshot1_notebooktask","alt":"A screenshot of a Jupyter Notebook with the title \"South China Sea Conflict News.\"","author":"356032","description":"","caption":"Notebook with scheduled tasks to automate data updates","name":"screenshot1_notebooktask","status":"inherit","uploaded_to":2579122,"date":"2024-11-13 19:29:37","modified":"2024-11-13 19:32:26","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1364,"height":637,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","medium-width":464,"medium-height":217,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","medium_large-width":768,"medium_large-height":359,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","large-width":1364,"large-height":637,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","1536x1536-width":1364,"1536x1536-height":637,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","2048x2048-width":1364,"2048x2048-height":637,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask-826x386.png","card_image-width":826,"card_image-height":386,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Screenshot1_NotebookTask.png","wide_image-width":1364,"wide_image-height":637}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

    By scheduling tasks to run in Notebooks to capture updates in dynamic data feeds, we save significant analyst time while ensuring timely access to critical information.<\/p>\n

    Now that you’ve learned how to effectively use data management for automated intelligence workflows with the ArcGIS System, head over to Part 2 of this blog<\/a> to learn how to automate workflows in real-time.<\/p>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/11\/Untitled-11.png","wide_image":false,"show_article_image":false},"yoast_head":"\nEnhanced Data Management Supports Automated Intelligence Workflows (Part 1)<\/title>\n<meta name=\"description\" content=\"Explore how using ArcGIS Web Apps for data management can transform intelligence operations.\" \/>\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.esri.com\/arcgis-blog\/products\/arcgis\/data-management\/enhanced-data-management-supports-automated-intelligence-workflows\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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