Microsoft Power BI is a business and data analytics service that enables professionals to analyze, process and visualize vast volumes of data. The tools help businesses to extract insights, draw conclusions and share the respective results in the form of dashboards and reports across the employees and the organization’s various departments. To generate the reports and dashboards, drag and drop feature with a range of interactive data visualization is present. It helps to manage the data better, resulting in enhanced insights into the businesses. <\/p>\n\n\n\n
To learn more about Power BI, you can go through this detailed blog: A Detailed Guide of Power BI <\/a><\/p>\n\n\n\n There are a plethora of tools present in the market; still, many organizations rely on Microsoft Power BI. Let’s explore the top reasons businesses choose Power BI to meet their self-service and enterprise business intelligence needs. <\/p>\n\n\n\n There are multiple components available in the Power BI. Let’s have a look at the brief introduction of each of them. <\/p>\n\n\n\n Users can create, visualize, and analyze data models and reports with the Windows program Power BI Desktop. Preparing data and producing interactive data visualizations is a powerful tool.<\/p>\n\n\n\n The different locations where your data is stored, such as databases, Excel files, web services, or cloud-based storage options, are referred to as data sources. To import and analyze data, Power BI can connect to a wide variety of data sources.<\/p>\n\n\n\n Users can share, collaborate, and publish Power BI reports and dashboards to a larger audience using the cloud-based Power BI service, which is offered by Microsoft.<\/p>\n\n\n\n A bridge that enables safe data transmission between on-premises data sources and the Power BI service in the cloud is called the Power BI Gateway. The reports and dashboards benefit from having the most recent data available.<\/p>\n\n\n\n Without utilizing the cloud-based Power BI service, customers can host and administer Power BI reports and KPIs inside their organization’s network with the help of Power BI Report Server, an on-premises solution.<\/p>\n\n\n\n By integrating interactive Power BI reports and dashboards into unique applications, websites, or portals, developers can give users a seamless analytics experience.<\/p>\n\n\n\n Users on Android, iOS, and Windows devices may access and interact with their Power BI reports and dashboards while on the road, thanks to applications called Power BI Mobile Apps.<\/p>\n\n\n\n A data transformation tool called Power BI Query, also referred to as Power Query, enables users to connect to numerous data sources and perform data cleaning, combining, and shaping operations before loading the data into Power BI for analysis.<\/p>\n\n\n\n With the help of the Power Pivot add-in for Excel and Power BI Desktop, users may use massive datasets from many sources to build complex data models and carry out complex computations using Data Analysis Expressions (DAX).<\/p>\n\n\n\n Users can build interactive charts, graphs, and maps using the Power View interactive data visualization feature in Excel and SharePoint to improve data analysis and reporting.<\/p>\n\n\n\n Users can plot data on a 3D map using Power Maps, a 3D geographical data visualization tool in Excel, enabling a more engaging approach to analyzing and presenting geographic information.<\/p>\n\n\n\n Data exploration is made more simple and more approachable by the use of Power Q&A, a natural language query tool that enables users to ask questions about their data in everyday language and obtain interactive visualizations as a response.<\/p>\n\n\n\n \u201cPower BI dashboard is a single page, often called a canvas, tells a story through visualizations.\u201d <\/p>\n\n\n\n As it is limited to one page, a well-designed dashboard contains only the highlights of the whole story. Users can view related details of the reports and charts on the dashboard. It is a feature of the Power BI service. These are not available on the Power BI Desktop, you can’t create dashboards on mobile phones, but you can share and view them there. <\/p>\n\n\n\n Basics of Dashboard <\/p>\n\n\n\n All the visualizations you see on the dashboard are called tiles. Each report is based on the dataset, and you pin these tiles to the dashboard from the reports. Basically, a dashboard is an introduction to the underlying reports and datasets. You can also pin different kinds of tiles to the dashboard.<\/p>\n\n\n\n Here are the top benefits of using the Power BI Dashboards.<\/p>\n\n\n\n Creating a dashboard in Power BI can be an interesting process; in fact, you can do this in just six simple steps. Here is what we can do. Let’s get started.<\/p>\n\n\n\n Before starting, you must download and install the Power BI and know little information about the platform. <\/p>\n\n\n\n You can easily download the application from the Microsoft Power BI website, but before doing this, you have to sign up for an account. Microsoft offers you three options for a Power BI account: Pro, Power, and Premium. You have to select the one that is most beneficial and have features required by your business. Once you register, download and install the app for the OS. Follow the on-screen instructions to complete the installation. <\/p>\n\n\n\n Once the Power BI app is booted up, go have a look at the dashboard. That will appear like this: <\/p>\n\n\n\n The main section of the Power BI interface includes:<\/p>\n\n\n\n This process is an important one as the Power BI works on the various data and then makes the report. So you have to import and connect to various data sources while creating a dashboard in Power BI. <\/p>\n\n\n\n There are some particular data sources that only support Power BI, so before importing, you can ensure that it supports it or not. Here are some familiar data sources include:<\/p>\n\n\n\n For a complete list of accepted data sets, head to the Ribbon panel and click on “Home” and click on Get Data option to choose the data format your data set in. And then also if you do not see your data format in the opened menu, click on more, and a pop-up of all accepted data sets will appear. Given below are the images you can go through for a better understanding. <\/p>\n\n\n After clicking Get Data this screen will appear: <\/p>\n\n\n Here are the steps by which you can connect your data set to Power BI: <\/p>\n\n\n\n Note: <\/strong>Data cleaning includes removing unnecessary rows, renaming columns or attributes, and cleaning null values that may affect the insights you could draw from the data set. <\/p>\n\n\n\n It is important to have engaging and aesthetic data reports to hold your reader’s attention span for longer. With the help of Power BI, you can easily achieve it by using different chart types that connect together to tell a story. Power BI is a better option to take your visualization to the next level. <\/p>\n\n\n There are multiple options present in the Power BI for adding to your report, but do not put all of them. Choosing the right one is necessary. The image referring to the figures serves as a pin icon, which you can use to drag and drop your desired chart. Here are some common visualization types and the best case for when to use them. <\/p>\n\n\n\n After learning to pin visuals, now it’s time to customize the appearance and format of your visualization. This will make your dashboard more attractive and aesthetic, resulting in better engagement of readers with content, making the overall report more informative.<\/p>\n\n\n\n Here are some relevant formatting settings that you’ll likely use:<\/p>\n\n\n\n Other than this, there are some other features and settings available that you can add, but they are not that necessary a minimalist dashboard, instead of a clustered one is better at sharing and driving home a story. <\/p>\n\n\n\n Adding Reports Pages and Visuals <\/p>\n\n\n\n So we have discussed how to choose the visualization in the previous section. <\/p>\n\n\n\n Organizing and Arrange Dashboard Components <\/p>\n\n\n\n A good and appealing design is equally important as having the correct data and selecting the right visualization. Here are some points you have to keep in mind. <\/p>\n\n\n\n To create a better user experience, visual interactions can be added for users to interact with. It makes it easier for you to present in the meeting, focusing on a particular place or time. The ability to edit and apply slicers and filters in real time is a potent tool to better your data story. <\/p>\n\n\n\n Here are some rules you can follow to do this:<\/p>\n\n\n\n 1. Select a visualization to make it active <\/p>\n\n\n\n 2. Display Visual Interaction options <\/p>\n\n\n\n 3. Click filter and highlight Icons on the top right corner of the selected visualization, depending on what you want to do. <\/p>\n\n\n So, for instance, if you want to highlight a specific section, you can use the highlight icon. This is really helpful when you have to highlight any particular data without creating another chart. <\/p>\n\n\n\n The ability of Power BI to share and collaborate is a powerful feature that allows others also to view and edit other people’s work. <\/p>\n\n\n\n After completing the creation of the dashboard, you can share and publish the completed report for your team or organization to access. Here’s how to do that:<\/p>\n\n\n\n 1. Locate the dashboard that you want to share or open it.<\/p>\n\n\n\n 2. Click on the “Share” button.<\/p>\n\n\n\n 3. In the “Share Dashboard,” you have to enter the names or the emails of the people or the groups you want to share with. <\/p>\n\n\n\n 4. There is also the option of including the message for them and then at the last click to the “Grant Access.” <\/p>\n\n\n\n You can share with the team members by following these steps:<\/p>\n\n\n\n 1. Go to the “Workspace” tab. There you can find the shared projects and a folder that has the current project named “my workspace.”<\/p>\n\n\n\n 2. Create a “New Workspace.”<\/p>\n\n\n\n 3. Add the member’s email or name, and you can also customize the access permission levels when working with secure data. <\/p>\n\n\n\n Here is the table showing the comparison between Dashboard and reports. <\/p>\n\n\n\n Seven best practices to follow to create Power BI dashboards are mentioned below- <\/p>\n\n\n\n So are you also confused about sorting a lot of data and, at the same time, want to present it to the team in a more understandable way? You can solve this problem just by using the Power BI dashboard. An effective dashboard can clearly communicate the message to the end users. This makes things much more understandable that enhances the way of maintaining the data and presenting it to a larger group of people. Also, keep in mind there are some things that you have to keep in mind while making the dashboard, such as-<\/p>\n\n\n\n By now, you might have decided who you are making the dashboard for or for your own organization. Then you also have an idea of showing the KPIs to present. Since you have a fixed amount of data and space to utilize, then you have to think of putting the most important one on the dashboard. You can show the ones that are useful for most of the users so that this can help most of the users in the organization. You can do some other things to sort this out by keeping these three things in mind. <\/p>\n\n\n\n Proximity here refers to grouping the elements that are similar and can be used together or based on the location. Similarity means using the visual perception of the audience by grouping similar fonts and colors together. An enclosure means showing physical demarcation by a visual border or shading to make them a part of a group. <\/p>\n\n\n\n After maintaining your dashboard with the right visualization also, it can be possible that the users do not find it appealing. It is said that the human brain digest visual information more effectively than text. So it is very important to display your dashboard in a way that resonates with your audience. Here are the top 5 types of data usage charts you can select from-<\/p>\n\n\n\n You can use different visualization based on your data, but always remember who is going to consume the dashboard, as the whole purpose of the dashboard is to simplify the data, not complicate it, and for better understanding with a little effort. <\/p>\n\n\n\n Labeling and context are the two important on-screen parameters to analyze the role of data in specific dashboards. BI Dashboards and Visual representation, which lack these two parameters, will limit their ROI. Here <\/p>\n\n\n Taking the example of this dashboard what do you observe by seeing it? Ok, you can say it is sales data but other than that what do you understand? It can be a little issue to understand this as no labeling of the content is available making it hard to understand. <\/p>\n\n\n\n Normally all the dashboards are made with lighter backgrounds to maintain the flexibility it provides with the color, But due to the digital fatigue growing increasingly, the darker mode is preferred to provide better comfort. But preferring an intermediate range of color from the palate can be more effective as highly contrasting black and white also cause discomfort and create a sense of urgency. You can consider the colors given below, choosing for your dashboard.<\/p>\n\n\n\n So when creating one dashboard, you might think that you have to put all the elements in the dashboard and not let a single left out. This notion has two major disadvantages:<\/p>\n\n\n\n So focus on putting the data that are most important to show in the dashboard and avoid the cluttering of the data as it may lead to unwanted data in one place. <\/p>\n\n\n\n This is a very important and short step for the dashboard when created. There are some times when you keep on focusing on the elements of the dashboards and might lose sight of its usability. So, before implementing anything, you should focus on testing it for the end users. This can also lead to keeping the end users in the loop about the progress and workings of the design. <\/p>\n\n\n\n Here are some of the Power BI Dashboards according to different industries- <\/p>\n\n\n\n Ok, so as you know now, you can use the dashboard to simplify a large amount of data. This dashboard is designed here to be used by online retailers and provide them with a high-level to granular understanding of how different products are performing. The dashboard can also show the data for yearly, quarterly, and monthly growth rates. This help in identifying which product is doing best in which location, etc. <\/p>\n\n\n Inventory management is also one of the important processes in any industry; thus, creating a dashboard that fulfills all the requirements of the information can be really helpful for the team. The dashboard can contain upcoming orders and the orders that are placed, the number of items that can be used, and how much the product quantities are remaining to analyze the products to remain updated again by category. <\/p>\n\n\n Power BI dashboards can be customized for HR also. The dashboard can contain the number of employees, their performance, active employees, total working hours, attention ratio, and many more. These things can also further break down into department-wise information, education details, and the things that are more important to decrease the daily chaos. <\/p>\n\n\n Finance Dashboards can contain various aspects such as revenue, gross profit, and net profit charts with all the details of the past or upcoming years. You can even sort the data according to months or yearly. It optimizes budgeting, forecasting, and financial planning processes. Also, one scalable dashboard to handle growing data volumes. <\/p>\n\n\n<\/span>Why Power BI?<\/span><\/h2>\n\n\n\n
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<\/span>Components of Power BI<\/span><\/h2>\n\n\n\n
<\/span>1. Power BI Desktop<\/span><\/h3>\n\n\n\n
<\/span>2. Data Sources<\/span><\/h3>\n\n\n\n
<\/span>3. Power BI Service<\/span><\/h3>\n\n\n\n
<\/span>4. Power BI Gateway<\/span><\/h3>\n\n\n\n
<\/span>5. Power BI Report Server<\/span><\/h3>\n\n\n\n
<\/span>6. Power BI Embedded<\/span><\/h3>\n\n\n\n
<\/span>7. Power BI Mobile Apps<\/span><\/h3>\n\n\n\n
<\/span>8. Power BI Query<\/span><\/h3>\n\n\n\n
<\/span>9. Power Pivot<\/span><\/h3>\n\n\n\n
<\/span>10. Power View<\/span><\/h3>\n\n\n\n
<\/span>11. Power Maps<\/span><\/h3>\n\n\n\n
<\/span>12. Power Q&A<\/span><\/h3>\n\n\n\n
<\/span>What is a Power BI Dashboard?<\/span><\/h2>\n\n\n
![\"Power](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image14.png\")
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![\"Power](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/2-1024x256.jpg\")
<\/a><\/figure><\/div>\n\n\n<\/span>Why Use Power BI Dashboard: Benefits <\/span><\/h2>\n\n\n\n
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<\/span>How To Create a Power BI Dashboard?<\/span><\/h2>\n\n\n\n
<\/span>Step 1: Signing Up and Installation <\/span><\/h3>\n\n\n\n
User Interface<\/h4>\n\n\n\n
![\"How](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image6-1024x611.png\")
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<\/span>Step 2: Connecting and Importing to Data Sources <\/span><\/h3>\n\n\n\n
Supported Data Types<\/h4>\n\n\n\n
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![\"How](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image7-1024x649.png\")
<\/figure><\/div>\n\n\n![\"How](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image15.png\")
<\/figure><\/div>\n\n\nConnecting and Configuring Data Connections <\/h4>\n\n\n\n
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<\/span>Step 3: Creating and Customizing Visualization <\/span><\/h3>\n\n\n\n
![\"How](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image2-1.png\")
<\/figure><\/div>\n\n\nSelecting the Correct Visualization Type <\/h4>\n\n\n\n
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Customization Appearance and Formatting <\/h4>\n\n\n\n
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<\/span>Step 4 – Building the Dashboard<\/span><\/h3>\n\n\n\n
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<\/span>Step 5: Implementing Interactivity and Dynamic Behaviour<\/span><\/h3>\n\n\n\n
![\"How](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image9.png\")
<\/figure><\/div>\n\n\n<\/span>Step 6: Sharing and Collaborating<\/span><\/h3>\n\n\n\n
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![\"Power](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/1-1024x256.jpg\")
<\/a><\/figure>\n\n\n\n<\/span>Dashboard vs. Report in Power BI<\/span><\/h2>\n\n\n\n
Capability<\/th> Dashboards<\/th> Reports <\/th><\/tr><\/thead> Pages<\/strong><\/td> Has only one page<\/td> Has one or more pages <\/td><\/tr> Data sources <\/strong><\/td> Contains one or more reports and one or more datasets per dashboard <\/td> Contains a single dataset per report <\/td><\/tr> Availability on Power BI desktop <\/strong><\/td> It can’t filter or slice the view <\/td> It can filter, highlight and slice the view in various ways<\/td><\/tr> Availability on Power BI desktop <\/strong><\/td> Dashboards are not available in Power bi desktop <\/td> Can create reports on Power BI Desktop <\/td><\/tr> Featured <\/strong><\/td> You can set one dashboard as your featured dashboard<\/td> Cannot create a featured report <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n <\/span>Best Practices for Creating Power BI Dashboards<\/span><\/h2>\n\n\n\n
<\/span>1. Know your audience <\/span><\/h2>\n\n\n\n
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<\/span>2. Limit the Visuals and Reports on The Dashboard <\/span><\/h2>\n\n\n\n
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<\/span>3. Choosing the Right Visualization <\/span><\/h3>\n\n\n\n
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![\"Decide](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image1-1-1024x576.png\")
<\/figure><\/div>\n\n\n<\/span>4. Avoid poor labeling and provide context <\/span><\/h3>\n\n\n\n
![\"Global](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image5-1024x592.png\")
<\/figure><\/div>\n\n\n<\/span>5. Focus on Color <\/span><\/h3>\n\n\n\n
<\/span>6. Avoid Data Clutter <\/span><\/h3>\n\n\n\n
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<\/span>7. Test Dashboards <\/span><\/h3>\n\n\n\n
<\/span>Power BI Dashboard Examples<\/span><\/h2>\n\n\n\n
<\/span>1. E-commerce Sales Dashboard <\/span><\/h3>\n\n\n\n
![\"E-commerce](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image3-1.png\")
<\/span>2. Inventory Management with Advanced Data Analytics<\/span><\/h3>\n\n\n\n
![\"Inventory](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image_2023_07_31T06_43_06_438Z-1024x575.png\")
<\/span>3. Analytics for HR with Power BI <\/span><\/h3>\n\n\n\n
![\"Analytics](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image11-1024x576.png\")
<\/span>4. Finance Analytics Dashboard<\/span><\/h3>\n\n\n\n
![\"Finance](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image4-1024x571.png\")
![\"Patients](\"https:\/\/multisitelocal.ezxdemo.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/07\/image12-1024x573.png\")