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Welcome to the second blog in this Power BI blog series. This blog will focus on Power BI Dashboard. I would be talking about how to create a dashboard and gas jewelry and use it for better data insights. In case you people are new to Power BI and want to get some insights on Power BI, you may go through my previous blog which would help you to understand and get started with Power BI.

Power BI also gives you cloud-based BI services, known as “Power BI Services”, along with a desktop based interface called “Power BI desktop”. It offers data warehouse capabilities including data preparation, data discovery and interactive dashboards. In March 2016, Microsoft released an additional service called Power BI Embedded on its Azure cloud platform. Using it, one can deliver reports, analyze data easily and perform various ETL operations with Power BI.

The visualizations in a report represent a nugget of information. These visualizations aren’t static gas 87, you have an option to add and remove data, change visualization types, and apply filters in your quest to discover insights and look for answers. Like a dashboard, a report is highly interactive, highly customizable and the visualizations update as the underlying data changes.

The visualizations visible on the dashboard are known as tiles. These tiles are pinned to the dashboard from reports. The grade 9 electricity review visualizations on a dashboard come from reports and each report is based on one data set. In fact, one way to look at a dashboard is to consider it as an entry point into the underlying reports and data sets. Selecting a visualization takes gas refrigerator not cooling you to the report (and data set) which was used to create it.

Dashboards are a wonderful way to monitor your business, to look for answers, and to see your most-important metrics at a glance. The visualizations on a dashboard may come from one underlying data set or many, and from one underlying report or many. A dashboard combines on-premises and cloud-born data, providing a consolidated view regardless of where the data lies.

The e85 gas stations in ohio use of Power BI dashboard can be best understood with an example where the data set has different data types, each of which has the potential to reveal valuable business insights. Let us consider a use-case of a retail superstore where you unlock insights from data around regional sales, individual store transactions, product categories, consumer segments, sales figures, discount margins and profit.

• The performance of different states: Having got region-wise insights on profits and losses, we can create a scatter-plot of ‘sales vs profits’ at a state and region level with sales and profit as X and Y axis respectively. These states can be mapped to understand different scenarios. For instance, a business electricity wikipedia in hindi can take a decision to invest more in a state that has lesser sales but higher profits. Another state may end up raising a red flag if sales are higher but profits are declining.

• The performance of different customer segments: It is also essential for the business to know which customer segment is driving sales and profits in different regions. For example, a pie chart with a view of customer segments and sales/ profits can help the business formulate future strategies– which segment should be the primary gas 76 station focus area, for example B2B consumer segment might be driving the maximum profit with very less sales number– clearly, there is a huge opportunity to expand the B2B segment in this particular region.

So let us go ahead and see if we can visualize this data better using Power BI dashboard zyklon b gas canister for sale. But before that I would be creating a report with all the visualizations, so I can pin those visualizations on the dashboard. If you wish to create these reports with me, you can click on this linkto download Power BI desktop, an interface which we are going to use for visualization.

The image below, shows how the Power BI desktop interface looks like. We have three tabs on the left hand corner of the interface. The first tab is the report tab, which is visible by default and we are going electricity images cartoon to use it to create reports. Next is the data tab which is used to see the imported data sets. The last tab is the relations tab which gives you you relationship between different variables in a data set, if they are well defined.

You o goshi can easily import data sets into Power BI. This can be done by clicking on the Get Data tab. We have the Visualizations tab on the right hand corner of the screen. All the different kinds of visualizations that are listed under it can be used to meet your requirements. There is a Fields tab next to the V isualizations tab which gives you all the fields that your data set has.

Once we have imported the data set, you are good to go ahead and visualize 7 gas station data. With Power BI, all you have to do is select the visualizations and drag the required fields and drop them on visualization template to view them. Please refer the image below. I have selected a map representation and have dragged the state field and dropped it on the map.

You can go ahead and save this visualization or even publish it right away. I would instead be adding an extra page for all individual visualizations and then publish the complete report. This will make electricity storage costs it easy to pin these visualizations to the Power BI dashboard and also prevent you from crowding a single page with multiple visualizations.

This visualization can help us divide the states in three business strategic focus areas – Retain, Develop and Divest. The states on the top right corner with high sales and profit are currently at a good position and business j gastroenterol hepatol impact factor would want to retain this in the coming future. States to the right of median line can be looked upon as opportunity by the business wherein the increase in sales would help increasing the business profits – Develop strategy. And finally the states with low sales and low profits or higher sales but low profits are definitely not the areas where the business should focus on divesting the money. This gas density and molar mass helps heavily in formulating business investment strategy.

For example, we can see that in Central region, although the consumer segment is contributing to 50% of sales, it has a low profits share. However, the Corporate segment has a much higher profit share with lower sales contribution. Definitely, the business should focus on increasing the Corporate sales contribution which can impact the profitability for the business.

In Power electricity deregulation wikipedia BI, you can add multiple filters to your data to get the exact insight you desire. You can click on the drill down option available on the top left corner of the visualization to change representation of data. For our superstore data set you can use the drill down option to view sales by state, category and sub category to meet your needs.