{"id":1501,"date":"2024-09-12T08:00:00","date_gmt":"2024-09-12T15:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/?p=1501"},"modified":"2024-11-17T09:31:18","modified_gmt":"2024-11-17T17:31:18","slug":"how-azure-maps-can-help-you-unlock-location-intelligence-in-power-bi","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/2024\/09\/12\/how-azure-maps-can-help-you-unlock-location-intelligence-in-power-bi\/","title":{"rendered":"How Azure Maps can help you unlock location intelligence in Power BI"},"content":{"rendered":"\n<p>As organizations realize the value they can unlock from analyzing location data, adoption of location analytics has been surging. In <a href=\"https:\/\/www.forrester.com\/report\/the-state-of-location-intelligence-2023\/RES180412\" target=\"_blank\" rel=\"noreferrer noopener\">Forrester\u2019s 2023 Data and Analytics Survey<\/a>, nearly 90% of data and analytics decision-makers said that their organization is currently focusing on building location intelligence (LI) capabilities or will do so in the next two years.&nbsp;A few of the challenges organizations face as they try to adopt location intelligence include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Lack of skills or expertise<\/strong>: Organizations require more practitioners who can understand and effectively leverage location data for business insights.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data integration<\/strong>: Incorporating location data with other business data is critical for extracting meaningful insights and can be challenging due to disparate tools.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data quality and standardization<\/strong>: Organizations must ensure that all location data that they use is accurate and collected while adhering to all data privacy and other regulations.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-msxcm-kicker-container\">\n\t<div class=\" wp-block-msxcm-kicker-block wp-block-msxcm-kicker--align-right\" data-bi-an=\"Kicker Right\">\n\t\t<p class=\"wp-block-msxcm-kicker__title small text-neutral-400 text-uppercase\">\n\t\t\tAzure Maps Power BI visual\t\t<\/p>\n\t\t<a\n\t\t\tclass=\"wp-block-msxcm-kicker__cta btn btn-link p-0 text-decoration-none\"\n\t\t\thref=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-get-started\"\n\t\t\ttarget=\"_blank\"\t\t>\n\t\t\t<span>Learn more.<\/span> <span class=\"glyph-append glyph-append-xsmall wp-block-msxcm-kicker__glyph glyph-append-go\"><\/span>\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\n<p>To help our customers easily access the benefits of location intelligence, we introduced the Azure Maps visual in Fabric, specifically to Power BI, in 2023. Azure Maps enables users to visualize and analyze their location data on maps to uncover patterns and trends. Using it is as simple as enabling the Azure Maps Power BI visual, selecting the Azure Maps icon from the visualizations pane in Power BI, and then diving in to enhance your dashboard with location intelligence. Azure Maps in Power BI comes with a range of capabilities to help you better optimize your data including geocoding, reference layers, traffic layers, and more.&nbsp;&nbsp;<\/p>\n\n\n<div class=\"wp-block-msxcm-cta-block\" data-moray data-bi-an=\"CTA Block\">\n\t<div class=\"card d-block mx-ng mx-md-0\">\n\t\t<div class=\"row no-gutters material-color-brand-dark bg-fabric-green\">\n\n\t\t\t\t\t\t\t<div class=\"col-md-4\">\n\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"660\" height=\"496\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/05\/Fabric-CTA.png\" class=\"card-img img-object-cover\" alt=\"Decorative image of abstract art\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/05\/Fabric-CTA.webp 660w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/05\/Fabric-CTA-300x225.webp 300w\" sizes=\"auto, (max-width: 660px) 100vw, 660px\" \/>\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"d-flex col-md\">\n\t\t\t\t<div class=\"card-body align-self-center p-4 p-md-5\">\n\t\t\t\t\t\n\t\t\t\t\t<h2>Azure Maps for Power BI<\/h2>\n\n\t\t\t\t\t<div class=\"mb-3\">\n\t\t\t\t\t\t<p>Build intelligent location-based experiences for applications across many different industries<\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"link-group\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/\" class=\"btn btn-link text-decoration-none p-0\" target=\"_blank\">\n\t\t\t\t\t\t\t\t<span>Learn more<\/span>\n\t\t\t\t\t\t\t\t<span class=\"glyph-append glyph-append-chevron-right glyph-append-xsmall\"><\/span>\n\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n<p><strong>Geocoding<\/strong> is the most fundamental step in location intelligence and entails converting addresses into latitude and longitude points. For example, a retail store can use the geocoding capability to visualize where their customers are located and determine which postal code, state, and or country has the maximum concentration of their customers. In Power BI, geocoding comes to life when a report creator drags their address data into the \u201cLocation\u201d field in the format pane. Addresses are then automatically converted into geographic coordinates and placed on a map. Alternatively, if you already have georeferenced data, then you can drag data directly to the \u201cLatitude\u201d and \u201cLongitude\u201d fields to see it on a map. Currently, the Azure Maps visual supports geocoding for up to 30,000 data points in a single visual. <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-geocode\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about geocoding here.<\/a><br>&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Geocoding.webp\" alt=\"graphical user interface, application, map\" class=\"wp-image-1514 webp-format\" srcset=\"\" data-orig-src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Geocoding.webp\"><\/figure>\n\n\n\n<p><strong>Reference layer<\/strong> is another capability offered by Azure Maps that enables Power BI report creators to add an additional data layer on top of their maps to gain deeper location-based insights. For example, an insurance company can overlay natural disasters data such as historic wildfires or flood occurrences on top of their clients\u2019 locations to understand how risk-prone their clients are and then use those insights to determine the insurance rates for those customers. Azure Maps enables users to incorporate data from multiple sources, including: GeoJSON, KML, WKT, or SHP formats. <a href=\"https:\/\/www.youtube.com\/watch?v=vnfDAkI9HgI\" target=\"_blank\" rel=\"noreferrer noopener\">In the July 2024 update for Power BI<\/a>, we also introduced data source support for CSV files and dynamic URLs <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-add-reference-layer?tabs=upload\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about reference layers here.<\/a>&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/reference-layer.webp\" alt=\"map\" class=\"wp-image-1515 webp-format\" srcset=\"\" data-orig-src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/reference-layer.webp\"><\/figure>\n\n\n\n<p><strong>Traffic layers<\/strong> enables Power BI report creators to overlay real-time traffic data on maps within Power BI by turning the traffic layer slider in the format pane on. By selecting \u201cShow Incidents,&#8221;  you can visualize traffic flow and incidents such as road closures and construction on the map. Logistics companies often overlay their telematics data and then use traffic layers to optimize their routes. They can determine where potential delays in deliveries can occur or where incidents such as harsh breaking are likely to take place. <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-show-real-time-traffic\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about traffic layers here<\/a>.<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2-1024x576.webp\" alt=\"diagram, map\" class=\"wp-image-1507 webp-format\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2-1024x576.webp 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2-300x169.webp 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2-768x432.webp 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2.webp 1431w\" data-orig-src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-2-1024x576.webp\"><\/figure>\n\n\n\n<p>The <strong>Range Selection<\/strong> capability enables means report creators to can place a pin on a map and define a search area either by time or distance. For example, a coffee chain trying to open a new location in the downtown Seattle area can use the \u201c<strong>Distance<\/strong>\u201d metric to determine how many other competitor coffee shops are within a two mile radius of the city-center. Alternatively, the coffee chain can use the \u201c<strong>Time<\/strong>\u201d metric to determine how much time it will take for their target customers to reach the coffee shop from a given location. With these location-based insights, the coffee chain can make informed decisions ranging from determining where to open the next store, to analyzing store performance, or to planning for inventory to meet customer demands. Learn more about <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-get-started\" target=\"_blank\" rel=\"noreferrer noopener\">range selection here<\/a>.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157-1024x574.webp\" alt=\"chart, radar chart\" class=\"wp-image-1516 webp-format\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157-1024x574.webp 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157-300x168.webp 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157-768x430.webp 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157.webp 1297w\" data-orig-src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/Screenshot-2024-09-10-112157-1024x574.webp\"><\/figure>\n\n\n\n<p><a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-get-started\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Maps visual<\/a> also includes other data visualization tools that help report creators in impactful storytelling. <strong>Heat Maps,<\/strong> also known as Density Maps, are a type of overlay on a map used to represent the density of data using different colors. Heat maps are often used to show the data &#8220;hot spots&#8221; on a map. Heat maps are a great way to render datasets with large number of points. For example, a heat map can be created to identify the frequency with which customers visit shopping centers in different locations. <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-add-heat-map-layer\" target=\"_blank\" rel=\"noreferrer noopener\">Learn more about heat maps here<\/a>.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1-1024x575.webp\" alt=\"map\" class=\"wp-image-1506 webp-format\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1-1024x575.webp 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1-300x168.webp 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1-768x431.webp 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1.webp 1104w\" data-orig-src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/wp-content\/uploads\/2024\/09\/image-1-1024x575.webp\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"learn-more-about-the-azure-maps-visual-in-fabric\">Learn more about the Azure Maps visual in Fabric<\/h2>\n\n\n\n<p>We are constantly updating the Azure Maps feature to improve location intelligence within Power BI. Upcoming updates for Azure Maps visual will include more location data visualization and intelligence capabilities. As businesses continue to embrace data-driven decision-making, the combination of Azure Maps and Microsoft Fabric will play a crucial role in unlocking the full potential of location data.<\/p>\n\n\n\n<p>To learn more about Azure Maps visual and to get started, visit our <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/azure-maps\/power-bi-visual-get-started\" target=\"_blank\" rel=\"noreferrer noopener\">documentation page<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As organizations realize the value they can unlock from analyzing location data, adoption of location analytics has been surging. In Forrester\u2019s 2023 Data and Analytics Survey, nearly 90% of data and analytics decision-makers said that their organization is currently focusing on building location intelligence (LI) capabilities or will do so in the next two years.<\/p>\n","protected":false},"author":18,"featured_media":1509,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"post_tag":[69],"content-type":[44],"coauthors":[39],"class_list":["post-1501","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-data-science","content-type-announcements","review-flag-forre-1714572694-664","review-flag-lever-1714572687-374","review-flag-new-1714572686-992"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Azure Maps 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