{"id":23080,"date":"2024-09-05T15:33:49","date_gmt":"2024-09-05T13:33:49","guid":{"rendered":"https:\/\/www.geopostcodes.com\/en-GB\/?p=23080"},"modified":"2026-04-01T07:01:01","modified_gmt":"2026-04-01T07:01:01","slug":"power-bi-logistics-dashboard","status":"publish","type":"post","link":"https:\/\/www.geopostcodes.com\/en-GB\/blog\/power-bi-logistics-dashboard\/","title":{"rendered":"How to Build a Power BI Logistics Dashboard?"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Power BI logistics dashboards provide real-time supply chain visibility<\/li>\n\n\n\n<li>Integrate location data and KPIs to create effective visualizations<\/li>\n\n\n\n<li>Precise coordinates improve route and destination mapping accuracy<\/li>\n\n\n\n<li>Track costs, performance, and inventory to optimize operations<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p class=\"has-line-data\">A logistics dashboard consolidates data from various sources for a unified view of operations. It provides real-time supply chain visibility, enabling informed decisions and improving efficiency.<\/p>\n\n\n\n<p>These dashboards aggregate data from transportation systems, warehouses, GPS trackers, and other sources, presenting it visually. Stakeholders can monitor performance, identify bottlenecks, and implement improvements, leading to better coordination, reduced costs, and improved customer satisfaction.<\/p>\n\n\n\n<p>Power BI suits logistics dashboards due to its customizable visualizations, usability, and scalability.<\/p>\n\n\n\n<p class=\"has-line-data\">This tutorial shows you how to build a logistics dashboard in Power BI by integrating GeoPostcodes&#8217; precise location data, constructing your dashboard, and visualizing key metrics for actionable insights.<\/p>\n\n\n\n<p>\ud83d\udca1 For over 15 years, we have created the most comprehensive\u00a0<a href=\"https:\/\/www.geopostcodes.com\/en-GB\/postal-zip-code-database\/\" target=\"_blank\" rel=\"noreferrer noopener\">worldwide postcode database<\/a>. Our location data is updated weekly, relying on more than 1,500 sources. Browse GeoPostcodes datasets and\u00a0<strong><a href=\"https:\/\/public.geopostcodes.com\/portal-signup\" target=\"_blank\" rel=\"noreferrer noopener\">download a free sample here<\/a>.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Prerequisites_8\"><\/a>Prerequisites<\/h2>\n\n\n\n<p class=\"has-line-data\">To follow this tutorial, you will need the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A basic understanding of Power BI and how to use it<\/li>\n\n\n\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/power-platform\/products\/power-bi\/getting-started-with-power-bi\" target=\"_blank\" rel=\"noreferrer noopener\">A Power BI account<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/learn.microsoft.com\/en-us\/power-bi\/fundamentals\/desktop-get-the-desktop\">Power BI Desktop<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/public.geopostcodes.com\/portal-signup\">A GeoPostcodes account<\/a>. The free trial account will suffice for this tutorial, but keep in mind that it only provides sample datasets.<\/li>\n\n\n\n<li>A logistics dataset (<em>eg<\/em> order shipment records, delivery times, and route information). This tutorial includes a <a href=\"https:\/\/github.com\/rajkumarvenkatasamy\/power-bi-logistics-dashboards\/tree\/main\/dataset\">sample dataset<\/a> so that you can follow along.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Identifying_KPIs_18\"><\/a>Identifying KPIs<\/h2>\n\n\n\n<p class=\"has-line-data\">Before diving into the technical aspects of building a dashboard, you need to identify the key performance indicators (KPIs) that the dashboard must track. Common logistics KPIs include the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Delivery time: the time taken from order placement to delivery<\/li>\n\n\n\n<li>Route efficiency: the time taken to complete delivery routes of different lengths<\/li>\n\n\n\n<li>On-time delivery rate: the percentage of deliveries made on time<\/li>\n\n\n\n<li>Shipment volume: the total volume of shipments over a period<\/li>\n<\/ul>\n\n\n\n<p class=\"has-line-data\">Depending on your use case, your dashboard will combine various KPIs like these to meet your needs. For example, in this tutorial, you will build an order delivery and routes dashboard that include the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A map visualization that shows delivery routes and destinations<\/li>\n\n\n\n<li>A bar chart displaying delivery time by orders<\/li>\n\n\n\n<li>A line chart showing the route efficiency per day<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/8eEmdLv.png\" alt=\"Order delivery and routes dashboard\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">However, you might also want to build something else, such as a performance metrics dashboard that includes the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>KPI cards summarizing key performance metrics, like overall orders, total delivery distance covered, and weight carried<\/li>\n\n\n\n<li>A summary table displaying the orders and freight payments by carrier type and name<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/UcThmnU.png\" alt=\"Performance metrics dashboard\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Downloading_the_Datasets_42\"><\/a>Downloading the Datasets<\/h2>\n\n\n\n<p class=\"has-line-data\">To start, create a new project directory called <code>power-bi-logistics-dashboards<\/code> on your local machine. Next, create a subdirectory called <code>dataset<\/code> and download the sample logistics datasets for this tutorial from the following URLs into the <code>dataset<\/code> subdirectory:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/github.com\/rajkumarvenkatasamy\/power-bi-logistics-dashboards\/blob\/main\/dataset\/delivery_routes_data.csv\">Delivery routes data<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/github.com\/rajkumarvenkatasamy\/power-bi-logistics-dashboards\/blob\/main\/dataset\/carrier.csv\">Carrier data<\/a><\/li>\n<\/ul>\n\n\n\n<p class=\"has-line-data\">To download the location dataset, open a browser and log in to your <a href=\"https:\/\/portal.geopostcodes.com\/\">GeoPostcodes account<\/a> with your credentials. Using this dataset from GeoPostcodes will improve the location accuracy of your Power BI visualizations that deal with spatial data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/74hqzfm.png\" alt=\"GeoPostcodes home screen\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">From the landing page, click on <strong>Download Center<\/strong> and then on <strong>Postal database<\/strong>:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ep6VdXu.png\" alt=\"Download center\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">The next screen shows the postal datasets for various countries:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/i69sOPC.png\" alt=\"Postal database\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Even though GeoPostcodes provides comprehensive international data, this tutorial uses only data from the United States for the sake of simplicity.<\/p>\n\n\n\n<p class=\"has-line-data\">Scroll down and click on <strong>United States<\/strong> to download its location dataset.<\/p>\n\n\n\n<p class=\"has-line-data\">The downloaded file will be named something like <strong>GPC-POST-GEO-SAMPLE-US.zip<\/strong>. The postcode file contains a CSV directory, from which you have to copy the file <strong>GPC-PLACES-GEO-SAMPLE-US.csv<\/strong> to the <code>dataset<\/code> subdirectory of this project. For simplicity, this dataset will be referred to as the GeoPostcodes dataset in the rest of this tutorial.<\/p>\n\n\n\n<p class=\"has-line-data\">You should now have three files in your <code>dataset<\/code> directory:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>carrier.csv<\/strong><\/li>\n\n\n\n<li><strong>delivery_routes_data.csv<\/strong><\/li>\n\n\n\n<li><strong>GPC-PLACES-GEO-SAMPLE-US.csv<\/strong><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Setting_Up_Power_BI_with_Datasets_73\"><\/a>Setting Up Power BI with Datasets<\/h2>\n\n\n\n<p class=\"has-line-data\">You\u2019re now ready to start building your dashboard in Power BI. Launch the Power BI Desktop app from your machine:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/3KmHJRZ.png\" alt=\"Power BI Desktop landing page\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">If you\u2019re using it for the first time, you need to sign in using your Power BI account.<\/p>\n\n\n\n<p class=\"has-line-data\">To import the tutorial\u2019s sample datasets into Power BI, click on <strong>Get data from other sources<\/strong>. A window will pop up with various data sources to choose from:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/MkqHY4M.png\" alt=\"Get data\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Select <strong>Text\/CSV<\/strong> and click <strong>Connect<\/strong>. You will see a window that allows you to navigate through your machines\u2019 directories:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/mCHzkDT.png\" alt=\"Select the file to import\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Use this window to select the <strong>carrier.csv<\/strong> dataset file and click <strong>Open<\/strong>. You will see a window, as shown below, displaying the data from the chosen CSV file:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/SVTR3MB.png\" alt=\"Connect to carrier dataset\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You can see that Power BI has automatically chosen <strong>Comma<\/strong> as the delimiter, but it couldn\u2019t auto-identify the field names from the file content. Therefore, click <strong>Transform Data<\/strong> to get to the <strong>Power Query Editor<\/strong> window, which will allow you to carry out the data-transformation process:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/EIaeQGT.png\" alt=\"Carrier data transformation 1\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click the option <strong>Use First Row as Headers<\/strong> to select the first row as the header field names. Once that\u2019s done, you should see the transformation applied to the dataset, as below:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/om8bBIM.png\" alt=\"Carrier data transformation 2\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click <strong>Close &amp; Apply<\/strong> to close the <strong>Power Query Editor<\/strong> window. You will now see the Power BI interface, as shown below:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/yAHDqtj.png\" alt=\"First save\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">On the right side, you can see the imported carrier dataset. At the top left, you can see the <strong>Save<\/strong> icon. Click it to save your work. When you\u2019re prompted, give the file name <strong>logistics-dashboard<\/strong> and save it in the project directory.<\/p>\n\n\n\n<p class=\"has-line-data\">You should see a screen similar to the one below, with the saved file name at the top:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/9DF0HGr.png\" alt=\"Get another dataset\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Next, click on <strong>Get data<\/strong> and select <strong>Text\/CSV<\/strong> to import the next dataset, <strong>delivery_routes_data.csv<\/strong>, by following the steps above. The only difference is that, this time, instead of clicking <strong>Transform Data<\/strong>, click <strong>Load<\/strong> as the header row is auto-identified by Power BI, as shown below, and the data is good as is for further use:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/VPVEEHK.png\" alt=\"Load delivery routes data\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">The load option will skip the <strong>Power Query Editor<\/strong> window and directly load the data from the CSV file into Power BI.<\/p>\n\n\n\n<p class=\"has-line-data\">When you\u2019re done importing the delivery routes dataset, click on <strong>Get data<\/strong> and select <strong>Text\/CSV<\/strong> to import the next dataset, <strong>GPC-PLACES-GEO-SAMPLE-US.csv<\/strong>. You\u2019ll again follow the same steps as before. You\u2019ll have to click <strong>Transform Data<\/strong> to take you to the <strong>Power Query Editor<\/strong> window:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ra9e1HQ.png\" alt=\"Begin transformation on GeoPostcodes data\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click the <strong>Choose Columns<\/strong> option to select only those columns needed for this tutorial. In the window shown below, choose only the columns named <strong>postcode<\/strong>, <strong>latitude<\/strong>, and <strong>longitude<\/strong>, and then click <strong>OK<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/2YetVsQ.png\" alt=\"Choose columns\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You should see the transformed GeoPostcodes dataset as below:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/fjypitU.png\" alt=\"Transformed GeoPostcodes dataset\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Merging_the_GeoPostcodes_Data_with_the_Sample_Logistics_Data_129\"><\/a>Merging the GeoPostcodes Data with the Sample Logistics Data<\/h2>\n\n\n\n<p class=\"has-line-data\">Even though you have imported all three datasets, you don\u2019t yet have the latitude and longitude information in the delivery routes dataset. To get this information, you will merge GeoPostcodes\u2019 location data with the delivery route dataset in this section.<\/p>\n\n\n\n<p class=\"has-line-data\">Select the <strong>delivery_routes_data<\/strong> in the left-side <strong>Queries<\/strong> window and click on <strong>Merge Queries<\/strong> to initiate the merge action:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/cfVMX09.png\" alt=\"Merge queries\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">The new merge window that pops up will have no options selected in the second drop-down box:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/a3ItGOU.png\" alt=\"Merge queries window\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">As shown in the image below, select the datasets and the column that must be merged. In this case, choose <strong>Origin Postcode<\/strong> from the delivery route dataset and <strong>postcode<\/strong> from the GeoPostcodes dataset.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/X8xJow6.png\" alt=\"Merge query window; select tables to merge\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You should see seventeen rows matched after the merge action at the bottom of the image with a green tick mark. Click <strong>OK<\/strong> once the merge is done.<\/p>\n\n\n\n<p class=\"has-line-data\">The next screen shows the GeoPostcodes dataset merged as a last column with the delivery route dataset. However, the merged dataset appears as a single table field rather than individual fields. You can&#8217;t use this structure for visualization, so you must convert this table-field format into a compatible field-level format.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/2vsaVr1.png\" alt=\"After the merge based on Origin Zip\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click the convert icon on the right of the GeoPostcodes dataset. Uncheck both the <strong>postcode<\/strong> column and <strong>Use original column name as prefix<\/strong>, then click <strong>OK<\/strong>. The merged delivery route dataset now contains latitude and longitude fields from GeoPostcodes as individual fields.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/FVpUnrD.png\" alt=\"Expanded dataset\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Either right-click or double-click on the latitude column and select the <strong>Rename<\/strong> option to update the name to <strong>Origin Latitude<\/strong>. Then, rename the longitude column to <strong>Origin Longitude<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/FHP7wS8.png\" alt=\"Rename fields\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Repeat all merge steps to combine the delivery route dataset with GeoPostcodes dataset. This time, merge based on <strong>Dest Postcode<\/strong> from the delivery route dataset and <strong>postcode<\/strong> from GeoPostcodes. Rename the resulting columns to <strong>Dest Latitude<\/strong> and <strong>Dest Longitude<\/strong>.<\/p>\n\n\n\n<p class=\"has-line-data\">Once you\u2019re done, your dataset should match the one below:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ivEZfOY.png\" alt=\"Final merged dataset\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click <strong>Close &amp; Apply<\/strong> to close the <strong>Power Query Editor<\/strong> window and return to the Power BI interface:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/y2ZFywN.png\" alt=\"Second save\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">On the right side, you can see the delivery route dataset containing the newly merged fields from the GeoPostcodes dataset. Click the <strong>Save<\/strong> icon to save your work so far.<\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Creating_Visualizations_171\"><\/a>Creating Visualizations<\/h2>\n\n\n\n<p class=\"has-line-data\">Now that your dataset has been prepared, you\u2019re ready to create visualizations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading code-line\"><a id=\"Flow_Map_of_Delivery_Routes_and_Destinations_175\"><\/a>Flow Map of Delivery Routes and Destinations<\/h3>\n\n\n\n<p class=\"has-line-data\">First, you\u2019ll create a map visualization to show delivery routes and destinations. Start by clicking the three-dot icon in the <strong>Visualizations<\/strong> panel and choose <strong>Get more visuals<\/strong>:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ullaXur.png\" alt=\"Get more visuals\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">The next window allows you to download various visuals:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/mhXgK55.png\" alt=\"Flow map custom visual\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Search for <strong>flow map<\/strong> and click on the visual shown below to see details about this flow map. Click <strong>Add<\/strong> to add the visual to your visualizations panel.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/lnraI9m.png\" alt=\"Add Flow map\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Once the visual is added, click <strong>OK<\/strong> in the import message-response dialog box. You will now see this flow map\u2019s visual icon in the visualizations panel:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/CRKZ51m.png\" alt=\"Imported Flow map\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Click on the <strong>Flow map<\/strong> icon to start creating a report:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/Ri77zxw.png\" alt=\"Create a report based on Flow map\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">From the <strong>Data<\/strong> panel, select the fields <strong>Origin City<\/strong>, followed by <strong>Dest City<\/strong> in the <strong>delivery_routes_data<\/strong> dataset. This will update the <strong>Flow map<\/strong> visualization as follows:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/9H4RCBl.png\" alt=\"Flow map drawn\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Next, drag the corners of the visual using the mouse to fill half the chart area:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/quM9OWJ.png\" alt=\"Flow map dragged\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Move your mouse over any of the routes to see the source and destination location details in the flow map visual.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/qPmC1vq.png\" alt=\"Flow map route with source and destination on mouse hover\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Although you&#8217;ll see a map with routes connecting source and destination, the location points marked aren&#8217;t accurate when based only on cities. For accuracy, you&#8217;ll need latitude and longitude information from GeoPostcodes.<\/p>\n\n\n\n<p class=\"has-line-data\">Let&#8217;s examine how map visualization improves after applying these precise data points.<\/p>\n\n\n\n<p class=\"has-line-data\">Click (don\u2019t check the box) on the <strong>Dest latitude<\/strong> field in the <strong>Data<\/strong> panel of <strong>delivery_routes_data<\/strong>:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/ohoGJrs.png\" alt=\"Select Dest latitude\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">A new toolbar related to the selected field appears below the top menu bar. Its summarization drop-down box is selected as <strong>Sum<\/strong>. Click and change the value to <strong>Average<\/strong> since the average of the same value against the total number of records will return the value itself, whereas the sum aggregation type would not be meaningful in this case.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/RBC4zFL.png\" alt=\"Select Average as summarization value\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Repeat the same step for the <strong>Dest Longitude<\/strong>, <strong>Origin Latitude<\/strong>, and <strong>Origin Longitude<\/strong> fields. Then, drag and drop all four of these fields into the respective options of the flow map, as shown below:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/L6iwmRE.png\" alt=\"Flow map drawn with latitude and longitude\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You now have a map visualization with accurate location data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading code-line\"><a id=\"Bar_Chart_of_Performance_Metrics_225\"><\/a>Bar Chart of Performance Metrics<\/h3>\n\n\n\n<p class=\"has-line-data\">Next, let\u2019s create a bar chart that showcases performance metrics like total delivery time by each destination city. The chart will also include additional information, such as the number of orders split by an on-time flag, which will give insight into how many orders get delivered on time and how many are not.<\/p>\n\n\n\n<p class=\"has-line-data\">Click on the empty space of the reporting area and click on the visual <strong>Stacked bar chart<\/strong> as shown:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/dzCROBl.png\" alt=\"Prepare for bar chart\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">From the **Data ** panel, select the fields in the <strong>delivery_routes_data<\/strong> dataset in the following order:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Delivery Time (hours)<\/strong><\/li>\n\n\n\n<li><strong>Dest City<\/strong><\/li>\n\n\n\n<li><strong>On-Time<\/strong><\/li>\n\n\n\n<li><strong>Order Id<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"has-line-data\">This will update the <strong>Stacked Bar chart<\/strong> as follows:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/BzetDAs.png\" alt=\"Stacked bar chart\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Hover your mouse over the bar chart to see additional information, such as the number of orders delivered and whether they were delivered on time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading code-line\"><a id=\"Line_Chart_of_Route_Efficiency_246\"><\/a>Line Chart of Route Efficiency<\/h3>\n\n\n\n<p class=\"has-line-data\">After completing the bar chart, adjust the visual to fill only 50 percent of the second vertical half of the reporting area.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/zAPYEzB.png\" alt=\"Adjust the visualization for line chart\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You will use the remaining space to create a line chart showing route efficiency. Click on this empty space and then click on the line chart visual:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/PjQMLIp.png\" alt=\"Prepare for line chart\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">From the <strong>Data<\/strong> panel, select the following fields in the <strong>delivery_routes_data<\/strong> dataset in this order:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Miles<\/strong><\/li>\n\n\n\n<li><strong>Ship Date<\/strong><\/li>\n<\/ol>\n\n\n\n<p class=\"has-line-data\">This will update the <strong>line chart<\/strong> as follows:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/lRULNAs.png\" alt=\"Line chart first step\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">To update the line chart with the delivery time details, drag the <strong>Delivery Time (hours)<\/strong> field from the <strong>Data<\/strong> panel to the <strong>secondary axis<\/strong> input in the <strong>Visualizations<\/strong> panel.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/Nfc0ug2.png\" alt=\"Line chart second step\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">This line chart allows you to identify trends and patterns in route efficiency. For example, you might see if shorter routes are taking disproportionately more delivery time. You can also compare different periods to see if efficiency is improving or deteriorating.<\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Applying_Filters_on_the_Dashboard_271\"><\/a>Applying Filters on the Dashboard<\/h2>\n\n\n\n<p class=\"has-line-data\">You can also use the filters panel to apply data filters on the entire dashboard.<\/p>\n\n\n\n<p class=\"has-line-data\">To do this, select the entire dashboard by pressing Ctrl+A (Windows) or Command-A on your keyboard. This activates the filters for the entire page or dashboard. Expand the filter panel using the toggle expand icon, as shown:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/dknSx39.png\" alt=\"Expand filters panel\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Next, drag and drop the field <strong>Ship Date<\/strong> from the <strong>Data<\/strong> panel to the <strong>Filters on this page<\/strong> section of the <strong>Filters<\/strong> panel.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/OJjips3.png\" alt=\"Add ship date as filters on the page\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">Select any dates of your choice from the <strong>Ship Date<\/strong> filters to apply the selected data points as filters on the dashboard.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/i.imgur.com\/eBmwfuM.png\" alt=\"Pick dates to filter\" \/><\/figure>\n\n\n\n<p class=\"has-line-data\"><\/p>\n\n\n\n<p class=\"has-line-data\">You will see the dashboard showing data only for those particular shipping dates.<\/p>\n\n\n\n<p class=\"has-line-data\">If you want to save your work, remember to click the save icon, as mentioned earlier.<\/p>\n\n\n\n<h2 class=\"wp-block-heading code-line\"><a id=\"Conclusion_291\"><\/a>Conclusion<\/h2>\n\n\n\n<p class=\"has-line-data\">Congratulations! You now know how to build a robust logistics dashboard in Power BI and how to accurately plot delivery routes and destinations on map visualizations.<\/p>\n\n\n\n<p>We invite you to <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/public.geopostcodes.com\/portal-signup\">browse our databases for free<\/a> to explore precise latitude and longitude data enhances the accuracy of location-based insights in Power BI. For over 15 years, <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/www.geopostcodes.com\/en-GB\/\">GeoPostcodes<\/a> has maintained accurate and up-to-date location data that forms the foundation for successful business. Please feel free to contact us or <a target=\"_blank\" rel=\"noreferrer noopener\" href=\"https:\/\/public.geopostcodes.com\/request-a-quote\">request a quote<\/a> for any assistance you might need in leveraging location data for your projects.<\/p>\n\n\n\n<p class=\"has-line-data\">Also, be sure to check out these articles that may be helpful to you:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/address-validation-in-salesforce-sales-cloud-an-in-depth-guide\/\">\u201cAddress Validation in Salesforce Sales Cloud: An In-Depth Guide\u201d<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/address-validation-microsoft-dynamics-365\/\">\u201cUsing Address Validation in Microsoft Dynamics 365\u201d<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/add-geocoded-zip-codes-to-salesforce\/\">\u201cHow to Add Geocoded Postcodes to Salesforce\u201d<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">FAQ<\/h2>\n\n\n\n<div id=\"wp-block-themeisle-blocks-accordion-aa5641a4\" class=\"wp-block-themeisle-blocks-accordion exclusive has-light-content-bg is-style-default\">\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>How do I add a logo to my Power BI dashboard?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>You can add a logo by inserting an image. Go to the &#8220;Insert&#8221; tab in Power BI Desktop, choose &#8220;Image,&#8221; and then upload your logo.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What are Logistics Dashboards?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A logistics dashboard is a visual and interactive tool that provides a comprehensive view of the entire logistics process.<\/p>\n\n\n\n<p>Logistics dashboards employ data visualization techniques such as Flow Maps and drill-throughs to present a wealth of information in a clear and concise manner.<\/p>\n\n\n\n<p>By using a logistics dashboard, organizations can gain valuable insights into their logistics operations, track key metrics, and make data-driven decisions to optimize their supply chain.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What are the elements for efficient supply chain management?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The key elements for efficient supply chain management are:<\/p>\n\n\n\n<p><strong>Demand Forecasting:<\/strong> Accurately predicting customer demand to balance supply and minimize excess inventory<\/p>\n\n\n\n<p><strong>Inventory Management:<\/strong> Optimizing stock levels to reduce carrying costs while meeting demand<\/p>\n\n\n\n<p><strong>Supplier Relationship Management:<\/strong> Building strong partnerships with suppliers to ensure reliability and quality<\/p>\n\n\n\n<p><strong>Logistics and Transportation:<\/strong> Efficiently managing the movement of goods to reduce transportation costs and delivery times<\/p>\n\n\n\n<p><strong>Technology Integration:<\/strong> Utilizing tools like ERP systems, real-time tracking, and automation for better data flow and decision-making<\/p>\n\n\n\n<p><strong>Cost Management:<\/strong> Controlling costs across the supply chain without sacrificing quality or service<\/p>\n\n\n\n<p><strong>Sustainability:<\/strong> Incorporating eco-friendly practices to reduce the environmental impact and improve long-term viability<\/p>\n\n\n\n<p><strong>Performance Monitoring (KPIs):<\/strong> Continuously tracking performance metrics to identify areas for improvement<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What is a Power BI logistics dashboard?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A Power BI logistics dashboard is a data visualization tool that consolidates and displays key performance indicators (KPIs) related to a company&#8217;s supply chain.<\/p>\n\n\n\n<p>It enhances data analytics and provides insights into transportation costs, delivery performance, inventory levels, and overall efficiency.<\/p>\n\n\n\n<p>Using an interactive dashboard in Power BI allows businesses to track and optimize their logistics operations in real-time.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Why should I use Power BI for my logistics dashboard?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>It integrates with various business intelligence systems, enabling users to visualize their supply chain network, monitor transportation costs, and make data-driven decisions.<\/p>\n\n\n\n<p>Its ability to display interactive dashboards helps in identifying trends, inefficiencies, and areas for improvement in logistics.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What key metrics should be included in a logistics dashboard?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A logistics dashboard should include key metrics like transportation costs, delivery times, fleet utilization, and order accuracy.<\/p>\n\n\n\n<p>These key performance indicators (KPIs) help businesses evaluate the efficiency and performance of their logistics operations.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Is Power BI useful for logistics?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Absolutely! Power BI transforms logistics data into actionable insights, helping track shipments, optimize routes, and monitor KPIs across your supply chain network, similar to solutions offered by enterprise DNA.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Is Power BI being discontinued?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>No, Power BI remains Microsoft&#8217;s flagship business intelligence platform with regular updates and growing market share. It&#8217;s actively developed with no discontinuation plans announced.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Can you use Power BI as a dashboard?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Yes, creating dashboards is one of Power BI&#8217;s core functions, allowing you to visualize logistics metrics, share insights, and enable data-driven decisions in real-time.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What is a dashboard in logistics?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A logistics dashboard is a visual interface displaying key performance metrics like delivery times, inventory levels, and transportation costs to monitor operations and identify improvement opportunities.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn to build a Power BI logistics dashboard from scratch and visualize key metrics for actionable insights.<\/p>\n","protected":false},"author":40,"featured_media":23116,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[29,57,47],"tags":[43],"class_list":["post-23080","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-processing","category-map-visualization","category-supply-chain-management","tag-supply-chain-page"],"acf":[],"yoast_head":"<!-- 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