Power BI groups enable grouping of data within visuals for more efficient reporting. Depending on the type of dimension present in the visual (category or measure), it is possible to group parts of the report by default categories (Lists) or reporting segments (Bins). It is also possible to create groups of data and as well view a group which contains other series (Others). You will find out more about this in the following „recipe“ …
Companies sometimes have the need to publish reports that are of importance for the various concerned parties (customers, suppliers, shareholders, banks) such as balance sheet, income statement, inventory… If you connect with ERP or BI solution, and further import data to PowerBI and create reports and dashboards, there is an option to generate a link for sharing PowerBI reports on external web site.
In a previous “recipe” you’ve met PowerBI work environment and ways to create reports and dashboards. In the following post I will introduce you to the featured dashboards, favorites, groups and workspaces, display and filtering the content that appears in the menu. Also, there will be words and the additional options to edit, add content and share dashboards. Most of these options can be used in the free variant PowerBI service.
In the previous “recipe” was the word on how to import data to PowerBI and I have listed a number of sources from which it can connect. In what follows we will focus on the description of the user interface, and then you will see at practical example how to make reports and add them to dashboards. We will not be focusing on details but I believe you will, after reading this article, be able to independently create PowerBI reports.
Break-Even point is a method for calculating the profitability of a business. Income is calculated as the product quantity and the cost, and the costs are the sum of fixed costs and the product of the variable costs per unit with the amount. Therefore, breaking point is calculated by division of fixed costs and the difference of price and variable costs per unit of production. In following „recipe“ you will see the practical application of this method.