Analyst in Action

We know all the multitudes of Power BI and how it evolved over the years but have you ever thought what if you do not require all those fancy visuals and features but you need a flat table fitting in a single page and can go on for more than 100s of pages. If you are looking for something like this then Paginated Reports is the answer for you. In today's blog we will pen down everything you need to know about Paginated Reports. To know more about the Paginated Reports do read this interesting article from Microsoft. Before we start you will require - Report Builder (external tool but a FREE one) and Power BI Pro license along with the contributor rights to publish the paginated reports to different workspaces. Also, we will be working with Sample Superstore dataset. We are aiming to create a paginated report which will look something like this. Let's get started then, make sure you have published your dashboard in a workspace. For this demo, we have published the dashboard to

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

Do you want to save tons of efforts to check if your data model and PBIX file follows the standard best practices and norms? Then this blog is for you. If you are a follower of our channel we already deep dive into the importance of the DAX Studio as an external tool. If you are a beginner I would highly recommend to visit this blog . In today's blog we will check how Tabular Editor can help to optimize the data model.  Best Practice Analyser allows to define or import best practices. It will make sure that we do not violate the best practices while developing a dashboard. Isn't it exciting!! Before we start make sure you already have Tabular Editor version 2.24.1 installed on your system. To install it do visit this link and select the link for windows installer. Once Tabular Editor is installed it will reflect in your PBIX file under external tool. Also, we need to define the standard rules. To do so in your advanced scripting or C# script copy this and save it via Ctrl+S. An

Happy Friday!! If you have worked with other BI tools such as Tableau setting up the Top 10 is relatively easy but in Power BI you have dedicated functions such as RankX and Top N to do this. In this blog we will see how to highlight and filter out the TopN Sub Categories based on the Sales recorded in 2013. Before we start. Here are a few pre-requisites we are using Sample Superstore data and we have created an explicit measures called "Total Sales". If you aren't familiar with implicit and explicit measures do read this article . Total Sales is equivalent to Sum of Sales.  We will start with RankX. The goal here is to highlight the Top 10 subcategories based on the Total Sales occurred in the year 2013. Refer to the image below. How to make this? We will start creating a basic DAX which will provide rank to different sub categories. Make sure you provide an order in the DAX itself. In this case we have provided "DESC- descending". Once you have the DAX ready p