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Identify and Delete Unused Columns & Measures

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Heavy dashboards and a bad data model is a nightmare for every BI Developer. Heavy dashboards can be slow due to multiple reasons. It is always advised to stick with best practices. Are you still figuring out about those best practices then you should definitely have a quick read on Best Practice Analyser ( link ). One of the most common issues with slow dashboards is unused columns and unused measures.  It is very normal to load some extra columns and create some test measures in your dashboard but as a part of cleanup process those unused columns and unused measures should be removed. Why we are removing them? Because if you keep them then ultimately it will increase the size of your data model which is not a good practice.  How to identify the culprits (unused columns and unused measures)? In today's blog we will provide you with 2 most common external tools which will help you in identifying the culprits. More external tools😒. Who's going to pay for this? To your surprise...
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Copying Bookmarks from one Power BI report to another

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Let's think of a scenario, where you want to copy the bookmarks from one report to another. Most obvious approach is to just do a copy paste of the bookmarks. What's wrong with this approach? This approach only works for all visuals but not for bookmarks and field parameters.  If you are not familiar with basics of bookmarks and field parameters do refer to the beginners guide for bookmarks  and introduction to field parameters . Then how do you copy the bookmarks? Power BI enhanced report format (PBIR) for Power BI Project files (PBIP) will help you in achieving this. Let's check it out, I have 2 reports one contains the bookmark called Bookmarks PBIR Test (origin) and other one is Rolling Average PBIR Test (destination) .  Before we get started, you have to enable Power BI Project save option under preview features. Once enabled, restart Power BI desktop. There is a TMDL icon appearing on the left pane. What is TMDL and what's in it for me? There's a lot of possi...
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Playing with Totals in Power BI

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Are you a fan of matrix visual in Power BI? If you are as I am, I always struggle to get the correct totals and get something else instead of the totals it can be average. After a lot of research and going over different community posts, finally we have found 3 common scenarios that can elevate your matrix to the next level. To start with, I am using Sample Superstore data. Let's first explain the 3 different scenarios that we will tackle - We  would like  to show both Total Sales and Average Monthly Sales across different categories and different periods. We  would like  to show the Average Sales in the row subtotals and Total Sales in the column subtotals. Last and the  most interesting scenario is to show the Total sales excluding the furniture sales in the row subtotals and total sales in the column subtotals. Let's start by getting the correct totals in a matrix. Generally, if  use  basic Sum, Average... functions in your measures then most likely...
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