{"id":519202,"date":"2019-06-04T17:00:30","date_gmt":"2019-06-05T00:00:30","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=519202"},"modified":"2021-04-18T22:54:34","modified_gmt":"2021-04-19T05:54:34","slug":"maps-5-things-youre-overlooking-in-your-analysis","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis","title":{"rendered":"Maps: 5 things you\u2019re overlooking in your analysis"},"author":6651,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37171,22941],"tags":[43691,23551,221062,169792,33541],"industry":[],"product":[36801],"class_list":["post-519202","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-business","category-mapping","tag-insights-for-arcgis","tag-location-analytics","tag-location-intelligence","tag-projections","tag-vector-basemaps","product-insights"],"acf":{"short_description":"Are you analyzing location at the level of granularity needed to truly call your analysis complete? Look at 5 things your analysis maybe missing.","flexible_content":[{"acf_fc_layout":"content","content":"

If you follow top analyst firms or media outlets, you\u2019re no stranger to the terms location intelligence<\/a>, location analytics, and maps. Perhaps you\u2019re already visualizing and analyzing the \u201cwhere\u201d of your data on a map. But are you actually getting the insights you\u2019re after? Are you analyzing location data at the level of granularity needed to truly call your analysis complete?<\/p>\n

Let\u2019s look at five things you should consider to help you make the most of your analysis.<\/p>\n"},{"acf_fc_layout":"content","content":"

#1 \u2013 It\u2019s not about what you see<\/em>, it\u2019s about what you can do<\/em> with a map<\/strong><\/h3>\n

Most Analytics & BI platforms are great for visualizing points on a map. But, if you\u2019re an analyst, these points only lead to more questions<\/a>. (And while we\u2019re on the subject, why are you restricted to just points, what if your data consists of areas or lines?) To answer these deeper questions and get to real insights, you need the proper tools.<\/p>\n

Don\u2019t settle \u2013 do more with a map. Esri<\/a>, the global leader and pioneer in using maps for rich analysis for 50 years, offers visualization and analysis capabilities within its self-service location analytics product, Insights for ArcGIS<\/a>. Easily prepare data and go far beyond simple points on a map.<\/p>\n

From a visualization standpoint, Esri offers 50 plus out-of-the-box vector maps<\/a>. Vector maps are really just one of many types of file formats that Esri and Insights supports. They are commonly made up of basemaps: data layers that give you visual context of the area you\u2019re analyzing, such as the topography, imagery, streets, and terrain. Not only do vector maps give you rapid scalability and rendering when you zoom and navigate a map, but Esri offers a variety of localized and stylized vector maps that help you communicate your story, your way.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":519242,"id":519242,"title":"vector-basemaps-650","filename":"vector-basemaps-650.gif","filesize":1088165,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\/vector-basemaps-650","alt":"","author":"6651","description":"","caption":"","name":"vector-basemaps-650","status":"inherit","uploaded_to":519202,"date":"2019-06-04 00:15:00","modified":"2019-06-04 00:15:00","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":650,"height":364,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","medium_large-width":650,"medium_large-height":364,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","large-width":650,"large-height":364,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","1536x1536-width":650,"1536x1536-height":364,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","2048x2048-width":650,"2048x2048-height":364,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","card_image-width":650,"card_image-height":364,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/vector-basemaps-650.gif","wide_image-width":650,"wide_image-height":364}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/assets.esri.com\/content\/dam\/esrisites\/en-us\/arcgis\/products\/arcgis-insights\/vector-basemaps-gif.gif"},{"acf_fc_layout":"content","content":"

In addition to vector maps, Esri\u2019s Insights for ArcGIS<\/a> gives you analysis capabilities unlike any other analytical platform on the market today, especially from a spatial standpoint. For example, on-the-fly link analysis, also known as graph analytics. Perform this type of analysis on a map or a chart to uncover relationships between people, places, events, and other entities. Link maps connect the dots for you, but they also model relationships and connectivity, revealing the strength of those relationships. A thicker line and bigger node (point) will indicate a stronger relationship between the places you are connecting. Insights has many more spatial analytic operations<\/a> just like this.<\/p>\n"},{"acf_fc_layout":"youtube","start_time":"0","end_time":"","youtube_video_url":"https:\/\/www.youtube.com\/watch?v=jztWw0rg2b4<\/a>"},{"acf_fc_layout":"content","content":"

<\/h3>\n

#2 \u2013 The world isn\u2019t flat, and neither is your data<\/strong><\/h3>\n

With solutions like Insights for ArcGIS<\/a>, Esri makes it easy to work with any map projection<\/a> (any 2D map of the Earth). Why do projections matter? It\u2019s all about accuracy. If you use the wrong projection, your analysis can also be wrong. While others might consider projections trivial, Esri\u2019s 50 years of experience with users\u2019 real-life challenges has proved their importance.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":519252,"id":519252,"title":"whats-your-favorite-map-projection","filename":"whats-your-favorite-map-projection.png","filesize":186981,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\/whats-your-favorite-map-projection","alt":"","author":"6651","description":"","caption":"","name":"whats-your-favorite-map-projection","status":"inherit","uploaded_to":519202,"date":"2019-06-04 00:30:17","modified":"2019-06-04 00:30:17","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":1130,"height":916,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","medium-width":322,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","medium_large-width":768,"medium_large-height":623,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","large-width":1130,"large-height":916,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","1536x1536-width":1130,"1536x1536-height":916,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","2048x2048-width":1130,"2048x2048-height":916,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection-574x465.png","card_image-width":574,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/whats-your-favorite-map-projection.png","wide_image-width":1130,"wide_image-height":916}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.arcgis.com\/apps\/MapJournal\/index.html?appid=31484c80dba54a058369dfb8e9ced549"},{"acf_fc_layout":"content","content":"

Envision peeling an orange. Now, try to flatten it without ripping it. Difficult right?\u00a0 This is why not one map projection fits all analyses. A rule of thumb, see what map projection your data is in so you can properly analyze it. Let\u2019s look at an example.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":519282,"id":519282,"title":"map-projection-oregon","filename":"projection-sm-st-3.gif","filesize":745995,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\/projection-sm-st-3","alt":"","author":"6651","description":"","caption":"","name":"projection-sm-st-3","status":"inherit","uploaded_to":519202,"date":"2019-06-04 00:45:05","modified":"2019-06-04 00:45:37","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":1000,"height":500,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","medium-width":464,"medium-height":232,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","medium_large-width":768,"medium_large-height":384,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","large-width":1000,"large-height":500,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","1536x1536-width":1000,"1536x1536-height":500,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","2048x2048-width":1000,"2048x2048-height":500,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3-826x413.gif","card_image-width":826,"card_image-height":413,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/projection-sm-st-3.gif","wide_image-width":1000,"wide_image-height":500}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Say we\u2019re calculating the shortest route for a contracted truck driver travelling from Portland, OR to Gresham, OR. Contracted drivers are paid by the distance covered, so our analysis results need to be accurate to ensure that the company doesn\u2019t pay more than it should. As you can see above, we\u2019re comparing the calculated distance when using three different projections: Web Mercator (what most Analytics and BI platforms use) and State Plane Oregon North and UTM Zone (projections most appropriate for northwest Oregon). If the analysis is done using Web Mercator, it results in the company paying for about 8,100 more meters. This is a huge discrepancy, which adds up, especially if the same route is traveled daily. Projections matter.<\/p>\n

Because projections matter, Insights for ArcGIS supports over 6,400 coordinate reference systems. To help you take the guess work out of map projections, Insights intelligently handles most of this behind the scenes. That way, regardless of your data\u2019s map projection, you can trust that Insights will give you accurate results.<\/p>\n"},{"acf_fc_layout":"content","content":"

#3 \u2013 Analysis starts and ends with data<\/strong><\/h3>\n

And guess what, you already own a ton of location data. Almost all modern businesses today collect location information from their customers \u2013 whether it\u2019s an address, GPS coordinates, city, state or zip code. According to Forrester Analyst, James McCormick<\/a>, \u201cCustomers digitally [connect] to brands via PCs, then mobile devices, and now via a continuous tidal wave of emerging owned IoT devices (e.g., wearables, connected cars, etc.) and non-owned IoT devices (e.g., video, in-store tracking, etc.). Location is now critical to understanding the context of customer engagement in our rapidly digitizing physical world.\u201d <\/em><\/p>\n

Whether you\u2019re a B2C or B2B company, customers expect personalized experiences that anticipate their needs before they even acknowledge they have them (think Amazon and Google). Data analytics is the foundation of these amazing customer experiences. We\u2019d like to go a step further and assert that so is location analytics. Let\u2019s break this down.<\/p>\n

So you have location data. But is it ready for analysis? Probably not. Like most data, it must be prepped for analysis \u2013 perhaps you have different variations of a state\u2019s spelling (CA, Cali, California, etc.) and you need to make it consistent. Or, maybe you need to join data of various formats and sources \u2013 say you want to analyze business revenue data<\/a> along with weather, crime, development, and other factors. Unfortunately, most modern Analytics & BI platforms today can\u2019t do this. Data can\u2019t be visualized in a dashboard or report until it\u2019s been heavily prepped and analyzed. Why not work with a solution that can do it all?<\/p>\n"},{"acf_fc_layout":"content","content":"

#4 \u2013 Add out-of-the-box authoritative data for much-needed context<\/strong><\/h3>\n

Once your data is location-enabled, you can enrich that data with Census data or demographic, psychographic, environmental, and economic variables that comes with Insights. Easily combine over 8,000 US variables and hundreds of international variables to your data, then use that for further analysis and more insights. Updated regularly, Esri Demographics<\/a> datasets are of high value with strong lineage, accuracy, and completeness, and they are all included with Insights.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":519302,"id":519302,"title":"insights-enrich-your-data","filename":"enrich-your-data.gif","filesize":862894,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\/enrich-your-data","alt":"","author":"6651","description":"","caption":"","name":"enrich-your-data","status":"inherit","uploaded_to":519202,"date":"2019-06-04 01:27:59","modified":"2019-06-04 01:28:16","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":930,"height":522,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","medium_large-width":768,"medium_large-height":431,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","large-width":930,"large-height":522,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","1536x1536-width":930,"1536x1536-height":522,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","2048x2048-width":930,"2048x2048-height":522,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/enrich-your-data.gif","wide_image-width":930,"wide_image-height":522}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

#5 \u00ad\u2013 Easily add the spatial component to your data<\/strong><\/h3>\n

You may have heard the term geocoding. This is just a fancy way of describing the process of taking your data and adding a spatial component, allowing you to map it. Geocoding doesn\u2019t mean that you need XY coordinates. You can geocode an address, street, city, state, or custom boundaries \u2013 pretty much anything with location information. Insights make this a simple 3-step process. We also offer reference layers: maps that contain boundaries that scale from country and state, all the way down to census tract or block group. These layers allow you to get super granular with your analysis.<\/p>\n

Say, you’re trying to understand the sales of consumer packaged goods in the U.S. Consumer behavior differ greatly from state to state, more so from city to city, and even the lowest level of granularity, from block group to block group. The more you are able to scale in, the better, more accurate your analysis will be. Check out this fun Tapestry Segmentation app<\/a> that allows you to explore this concept by examining your community’s behavioral characteristics.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":519292,"id":519292,"title":"add-spatial-data-drag-and-drop","filename":"add-spatial-data-drag-and-drop.gif","filesize":709201,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\/add-spatial-data-drag-and-drop","alt":"","author":"6651","description":"","caption":"","name":"add-spatial-data-drag-and-drop","status":"inherit","uploaded_to":519202,"date":"2019-06-04 00:58:22","modified":"2019-06-04 00:58:22","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":950,"height":533,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","medium_large-width":768,"medium_large-height":431,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","large-width":950,"large-height":533,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","1536x1536-width":950,"1536x1536-height":533,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","2048x2048-width":950,"2048x2048-height":533,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop-826x463.gif","card_image-width":826,"card_image-height":463,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/add-spatial-data-drag-and-drop.gif","wide_image-width":950,"wide_image-height":533}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/products\/insights\/analytics\/perform-spatial-joins-geo-enablement-classic-data-joins-and-spatial-aggregation-all-with-insights-for-arcgis\/"},{"acf_fc_layout":"content","content":"

We hope we inspired you to think more about what you\u2019re getting from your maps. It really isn\u2019t about what you see on a map, it\u2019s about what you can do with the map that gives you real insight. We invite all analysts to join the thousands of organizations<\/a> benefiting from the value of self-service location analytics with Insights for ArcGIS<\/a>.<\/p>\n

Ready to go beyond points on a map? Give true location analytics a try. Sign up for a free, 21-day trial to Insights for ArcGIS<\/a>.<\/p>\n"}],"authors":[{"ID":6651,"user_firstname":"Mallory","user_lastname":"Delgadillo","nickname":"Mallory Delgadillo","user_nicename":"mdelgadillo","display_name":"Mallory Delgadillo","user_email":"MDelgadillo@esri.com","user_url":"","user_registered":"2018-03-02 00:18:37","user_description":"Mallory Delgadillo is the Lead Product Marketing Manager for Esri's SaaS, Imagery, and Spatial Data Science products. During her nine years at Esri, she has focused on educating and inspiring data and remote sensing enthusiasts to think spatially, enhancing their understanding of GIS applications.","user_avatar":""},{"ID":6051,"user_firstname":"Scott","user_lastname":"Sandusky","nickname":"Scott Sandusky","user_nicename":"scottsandusky","display_name":"Scott Sandusky","user_email":"ssandusky@esri.com","user_url":"","user_registered":"2018-03-02 00:17:53","user_description":"Esri product manager, working to spread the power of spatial data technology.","user_avatar":""}],"related_articles":[{"ID":584732,"post_author":"6651","post_date":"2019-08-15 12:01:08","post_date_gmt":"2019-08-15 19:01:08","post_content":"","post_title":"Maps: Going beyond face value with location analytics","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"maps-going-beyond-face-value-with-location-analytics","to_ping":"","pinged":"","post_modified":"2022-08-18 11:44:20","post_modified_gmt":"2022-08-18 18:44:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=584732","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":488312,"post_author":"7711","post_date":"2019-04-18 14:50:06","post_date_gmt":"2019-04-18 21:50:06","post_content":"","post_title":"Scripting in Insights for ArcGIS","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"scripting-insights-arcgis","to_ping":"","pinged":"","post_modified":"2019-04-18 14:57:05","post_modified_gmt":"2019-04-18 21:57:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=488312","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":605252,"post_author":"6051","post_date":"2019-10-10 17:33:09","post_date_gmt":"2019-10-11 00:33:09","post_content":"","post_title":"What's new with ArcGIS Insights (October 2019)","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"new-capabilities-in-arcgis-insights-october-2019","to_ping":"","pinged":"","post_modified":"2019-10-15 15:39:51","post_modified_gmt":"2019-10-15 22:39:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=605252","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/5-things-your-missing-map-analysis-826x465.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/5-things-your-missing-map-analysis-1920x1080.jpg"},"yoast_head":"\nMaps: 5 things you\u2019re overlooking in your analysis<\/title>\n<meta name=\"description\" content=\"Are you analyzing location at the level of granularity needed to truly call your analysis complete? Look at 5 things your map analysis maybe missing.\" \/>\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\/insights\/analytics\/maps-5-things-youre-overlooking-in-your-analysis\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maps: 5 things you\u2019re overlooking in your analysis\" \/>\n<meta property=\"og:description\" content=\"Are you analyzing location at the level of granularity needed to truly call your analysis complete? 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