Skip to main content

Introduction to Power Ops

Power BI, combined with all external tools, at least the basic ones, can be a perfect BI tool to meet all your needs. Today's blog will focus on another external tool. What?? Not another one!! In my regular practice, I always rely on basic external tools such as DAX Studio, Tabular Editor, and Measure Killer. But what if I say this new tool is a transformer, combining all the basic tools in one place?

If you are looking for an introductory guide for the basic external tools, we got you covered. 

Yes, you read it right and we will give you an introductory guide to all the functionalities that can be achieved with Power Ops. Okay, first things first to download Power Ops you can visit their website and I would recommend exploring it with one of your reports. You can download the free version. It will be available under the external tools section in Power BI Desktop.

Before we move further, I would highly recommend visiting Power Ops blogs and training videos.

Let's get started, I will be using a dummy report that contains Sample Superstore data for today's blog. You will observe the interface looks much better than the other external tools. And if you carefully notice you can pull any of the formats from PBIX to PBIP. 


How cool is that? We will stick with the PBIX format for the demo. Hit on add and you will enter into the world of Power Ops. 


It contains all the information related to the report even the usage of Custom Visuals and Bookmarks used. Time for First Impressions, as a BI developer I play with external tools regularly, and recently I became a fan of DAX Studio and Measure Killer just because they serve the purpose with a clean interface. And I am noticing the same with Power Ops. Let's check the model section.


The good part is it shows all the information at a glimpse straight from the number of data sources to the columns. If we scroll, we will find all relevant information that can't be easily found or we can say you have to find it on Power BI desktop but it is not that straightforward. The only thing that I missed is to use the toggles for Is Hidden or any other toggles. You can't do that from Power Ops itself to do it we need to go to Tabular Editor or do it in Power BI Desktop itself.


Getting an extract of all the measures is a kind of hidden feature in DAX Studio until you have deep-dived into DMV and created a query with MDSCHEMA.MEASURES. With Power Ops, you only have to go to the DAX section and you will have the list of all measures. If you have extensively worked with DAX Studio, it presents options to take the extract in a linked Excel so any change you make to your measures will be reflected in your Excel too. Currently, we miss that aspect with Power Ops.

Checking dependencies it's never been easy to check the dependencies but with Power Ops it is simple. To do so go to the dependencies section and you will find the dependency tree from 3 angles. The good part is you can even go to the measures level to check dependencies.


Accessing the M codes and editing them has been made easy with Power Ops. Head to the M queries section and you will all M codes for each and every table. This is quite similar to Measure Killer.


Let's head to my favorite section in any external tools which is to find the usage of my columns, measures, and tables. Power Ops has taken it to the next level. 


I am looking to find the usage for Order Date since it is my key to connect to the date table. With any of the external tools this information is never this clear. It is specifically pointing to the visual where I have used the Order date, in any of the measures order date is used and since it is a key in my data model we are getting that usage tracked too. You will be observing some columns and tables have red marks against them. These fields and tables are not used at all.


How awesome is that? Let's explore more and head to a new section that will allow us to compare different versions of your reports. This is one of the features that can't be achieved with any of the external tools. In case you need to do this more extensively try it VS Code and Azure DevOps.


Power Ops compared both reports until the M queries. Since both of the reports are using the same tables with the same data source it will be almost similar. You can observe the different statuses "Added/Removed/Modified" based on a page that is added, removed, and modified in the destination report. 

One of the last sections of Power Ops is Best Practice. Every external tool has this but I found the Best Practice Analyser with Tabular Editor the most effective for me. Let's head to the Best Practices section and see if this can be your favorite. 


The scorecard for my report shows I am not doing that bad job!! Let's open one of them to know more about these rules.


If we observe the failed section you will see Power Ops is looking for every small detail which is very good. In case you want to disable a specific rule you can easily do it by going to edit rules and disable it by unchecking it. You can also add your own rule by selecting add rule, provide all the information and Boom you will have a new rule in place.


What if I need to fix any of the rules in Power Ops itself? Yes, that's possible. Let's head to formatting rules. You will observe a fixing sign against certain rules


Only the rules that have the fixing sign against them can be fixed in Power Ops itself others either do it in Power BI Desktop or Tabular Editor but that makes sense. Let's click on the fixing sign and see. 


Final verdict time!! So overall I found Power Ops very useful and might even replace all my external tools library. 



"All our articles are intended to address all the frequently asked questions related to a topic. Do leave a comment if it answers any of your question. "


Thanks for Reading Let's connect on LinkedIn. For more such blogs and pro tips do follow us

Comments

Popular posts from this blog

Copying Bookmarks from one Power BI report to another

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...

Identify and Delete Unused Columns & Measures

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...

Playing with Totals in Power BI

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...