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Your Power BI dashboards will be strengthened by small multiples. Small multiples is one of the most powerful data visualisation techniques for reports and dashboards. You've probably had to compare several types of data at some time in your career, no matter what industry you work in. Cost centres, accounts, sales locations, sales channels, regions, car types, and web traffic referrers are just some of the things you can be dealing with. When working with several kinds of data, you don't need complicated or time-consuming methods that require multiple pages or difficult-to-read tables. There is a way to present it that makes it instantly more informative and simplifies comparing sets of data on a single page. The visualisation's term is Small Multiples, and it's a fundamental notion at its core. To put it another way, you Place all of your charts that show different categories on one page and scale them (synchronize the Y-axis). By using small multiples, anyone looking at your dashboard may clearly identify which parts are the most important and evaluate patterns. Examples of small multiples in Power BI 1. On-time product delivery. You can focus on making your data more meaningful after you've gathered all of your data on a single screen. By combining a line and an area chart, the Hills and Valleys Chart, for example, emphasises the positive and negative variations in relation to the goal. 2. Retail sales by category. 3. Several key performance indicators. We used to work with small multiples that represented a particular KPI, like market share or sales category. Small multiples in this form are the most fundamental. The data is simply replicated over and over for all categories. For more info please visit @ https://www.pbivizedit.com/

If you're a business analyst who uses Power BI, here are the top tools you should have in your toolbox. You'll need more than just a basic understanding of how to build good reports in Power BI or other apps as a business analyst. You'll learn how to create visually stunning and useful reports in the most efficient and effective way. 1. Charts with a lot of additional features Power BI has a large number of visualization. It features everything from pie charts to treemaps, map visualization, clustered column charts, and more. Advanced business charts, such as those that compare actual to plan, actual to projection, or actual to previous year reports, are not available in any business study. 2. Variance Analysis The majority of advance charts allow for variance analysis. A clear and accessible variance analysis should be included in every business dashboard or report you create. 3. The top N, plus others Filtering that is more complex may be required. You can, for example, filter the top five elements by value in Power BI, but you can't do Top N + Others. This feature lets you define the number of top elements to show, as well as the "Others" element, which combines all remaining elements into one. This is a handy little tool that you should incorporate into your dashboards, however it's tough to do so in Power BI. You'll need to add some more advanced DAX into your Power BI model to execute this. 4. Use the top N charts as a launching pad We'll talk about waterfall charts, especially bridge charts with Top N, where you don't just pour all of your data in at once. You can genuinely ensure that you're only making the most important modifications, those that had a positive or negative impact on your total result. A good bridge chart with Top N elements, either positive or negative, in Power BI dashboards and reports is a fantastic business analysis tool. For more info please visit @ https://www.pbivizedit.com/