{"id":2940628,"date":"2025-09-25T09:57:48","date_gmt":"2025-09-25T16:57:48","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2940628"},"modified":"2025-09-25T09:57:48","modified_gmt":"2025-09-25T16:57:48","slug":"smarter-time-in-arcgis-dashboards","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/analytics\/smarter-time-in-arcgis-dashboards","title":{"rendered":"Smarter Time in ArcGIS Dashboards: Introducing Support for DateOnly, TimeOnly, and Timestamp Offset Fields"},"author":368892,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341],"tags":[573561,30111,642031,28031,23571],"industry":[],"product":[36671],"class_list":["post-2940628","blog","type-blog","status-publish","format-standard","hentry","category-analytics","tag-arcgis-dashboards","tag-data-visualization","tag-formatting","tag-temporal","tag-whats-new","product-ops-dashboard"],"acf":{"authors":[{"ID":368892,"user_firstname":"Yichao","user_lastname":"Jia","nickname":"Rocky Jia","user_nicename":"yjia","display_name":"Rocky Jia","user_email":"yjia@esri.com","user_url":"","user_registered":"2025-02-21 17:50:27","user_description":"Rocky is a Product Engineer on Esri\u2019s ArcGIS Dashboards team, with a background in city planning and spatial analytics. Prior to joining the Dashboards team, she worked on StoryMaps, and has since found joy in exploring and sharing creative ideas that help elevate people\u2019s storytelling with data and maps.","user_avatar":""},{"ID":8392,"user_firstname":"Patrick","user_lastname":"Brennan","nickname":"Patrick Brennan","user_nicename":"pbrennan","display_name":"Patrick Brennan","user_email":"PBrennan@esri.com","user_url":"","user_registered":"2018-09-18 11:45:14","user_description":"Patrick Brennan is a Product Engineering Lead at Esri and the Product Owner for ArcGIS Dashboards. With 30 years of experience, Pat focuses on empowering Esri's customers to build powerful information dashboards that enable location-based analytics through intuitive and interactive data visualizations. In his spare time, you can often find Pat at his cottage, on the golf course, or skiing in and around Ottawa, Canada.","user_avatar":""}],"short_description":"You can now directly work with three new temporal field types in ArcGIS Dashboards! Learn how to leverage this enhancement in multiple ways.","flexible_content":[{"acf_fc_layout":"content","content":"

The magic of ArcGIS Dashboards has always been rooted in how it empowers users to present information with data in intuitive and versatile ways.\u00a0<\/span>\u00a0<\/span><\/p>\n

When it comes to temporal data, <\/span>there\u2019s<\/span> never a shortage of insights to draw or <\/span>stories<\/span> to tell.<\/span> At work, we <\/span>map<\/span> project milestone<\/span>s<\/span> on a<\/span> ca<\/span>lendar <\/span>a<\/span>nd track progress with KPI metrics <\/span>to help <\/span>the team<\/span> align goals and <\/span>deliver on time<\/span>. <\/span>To <\/span>navigate nature\u2019s challenges<\/span>, we<\/span> closely monitor <\/span>each<\/span> storm<\/span>\u2019s evolution<\/span> across <\/span>time and space<\/span> to <\/span>assess <\/span>impact and <\/span>enhanc<\/span>e <\/span>preparedness<\/span>.<\/span> In <\/span>urban environments<\/span>, we <\/span>measure and analyze <\/span>traffic volume<\/span> over time <\/span>to<\/span> gain a <\/span>better understanding of<\/span> travel<\/span> patterns<\/span>, <\/span>peak hour<\/span>s,<\/span> and <\/span>more<\/span>, <\/span>allowing us to<\/span> further <\/span>optimize<\/span> infrastructure <\/span>planning and management<\/span>. <\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2940665,"id":2940665,"title":"asset - time db examples","filename":"asset-time-db-examples.png","filesize":244235,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/ops-dashboard\/analytics\/smarter-time-in-arcgis-dashboards\/asset-time-db-examples","alt":"","author":"368892","description":"","caption":"","name":"asset-time-db-examples","status":"inherit","uploaded_to":2940628,"date":"2025-09-22 23:13:01","modified":"2025-09-22 23:13:01","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":1200,"height":300,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","medium-width":464,"medium-height":116,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","medium_large-width":768,"medium_large-height":192,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","large-width":1200,"large-height":300,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","1536x1536-width":1200,"1536x1536-height":300,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","2048x2048-width":1200,"2048x2048-height":300,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples-826x207.png","card_image-width":826,"card_image-height":207,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/09\/asset-time-db-examples.png","wide_image-width":1200,"wide_image-height":300}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Until recently, <\/span>the traditional Date field was the only supported field type in ArcGIS Dashboards for storing temporal values, where each date value must have an associated time value, and vice versa.<\/span> That meant even if your data only cared about the date (like a project milestone) or just the time of day (like a bus schedule), you had to work around a full date-and-time format. The Date field is not time zone aware, either, which made things even trickier if your data came from multiple time zones.<\/span>\u00a0<\/span><\/p>\n

With our June 2025 update, ArcGIS Dashboards now respects the true intent of your temporal data\u2014whether it\u2019s a simple date, a recurring time, or a globally synchronized timestamp.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"

 <\/p>\n

 <\/p>\n"},{"acf_fc_layout":"content","content":"

What\u2019s new<\/span>\u00a0<\/span><\/h2>\n

You can now work seamlessly with three new temporal field types in ArcGIS Dashboards:\u00a0<\/span>\u00a0<\/span><\/p>\n