

The earlier publish defined what Skinny stories are, why we should always care and the way we will create them. This publish focuses on a extra particular matter, Report Degree Measures. We focus on what report-level measures are, when and why we want them and the way we create them.
If you’re undecided what Skinny Report means, I counsel you try my earlier weblog publish earlier than studying this one.
What are report degree measures?
Report degree measures are the measures created by the report writers inside a Skinny Report. Therefore, the report degree measures can be found inside the internet hosting Skinny Report solely which suggests the report degree measures will not be written again to the underlying dataset and therefore they aren’t obtainable to another stories.
Why and when do we want report degree measures?
It’s a frequent state of affairs in real-world situations when the enterprise requires a report urgently, however the nuts and bolts of the report will not be being created on the underlying dataset but. For example, the enterprise requires to current a report back to the board exhibiting year-to-date gross sales evaluation however the year-to-date gross sales measure hasn’t been created within the dataset but. The enterprise analyst approaches the Energy BI builders so as to add the measure, however they’re below the pump to ship another functionalities which including a brand new measure isn’t even of their venture supply plan. It’s maybe too late if we watch for the builders to plan for creating the required measure, undergo the discharge course of, and make it obtainable for us within the dataset. Right here is when the report degree measures come to the rescue. We are able to merely create the lacking measure within the Skinny Report itself, the place we will later share it with the builders to implement it as a dataset measure.
How will we create report degree measures?
At the moment, we will create report degree measures solely in Energy BI Desktop when Join Dwell to both a Energy BI dataset, an SSAS Tabular mannequin (on-premises), or Azure Evaluation Providers (AAS). For this weblog publish, I Join Dwell to a Energy BI dataset. Open Energy BI Desktop first and observe these steps.
- Click on the Information hub dropdown button from the Dwelling tab
- Click on the Energy BI datasets
- Choose the specified dataset
- Click on Join
- Proper-click the desk that you simply’d prefer to host the report degree measure and choose New measure
- Kind your DAX expressions as regular and press enter
A brand new measure (Avg Unit Value) is now created on the Web Gross sales desk. As defined earlier, the brand new measure is just obtainable within the present report and never on the dataset degree and that’s the reason one of these measure is the so-called Report Degree Measure. All different measures are dataset degree measures, subsequently, they’re obtainable on the present report and another skinny stories we create sooner or later on high of the identical dataset.
We are able to now use the Avg Unit Value as regular in our information visualisation.
As maybe have observed already, we will additionally create report degree measures utilizing the Fast Measures functionality.
As a aspect word, you can too see the underlying information mannequin by clicking the Mannequin view tab as proven within the following picture:


Have you ever used this functionality? What challenges have you ever confronted in utilizing Report Degree Measures? I’d like to know your ideas, so be happy to depart your feedback beneath.