The earlier publish defined what Skinny reviews are, why we should always care and the way we are able to create them. This publish focuses on a extra particular matter, Report Stage Measures. We talk about what report-level measures are, when and why we’d like them and the way we create them.

In case you are undecided what Skinny Report means, I counsel you take a look at 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 should not written again to the underlying dataset and therefore they aren’t accessible to another reviews.

Why and when do we’d like 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 should not being created on the underlying dataset but. As an illustration, the enterprise requires to current a report back to the board displaying 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 accessible 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 are able to later share it with the builders to implement it as a dataset measure.

How will we create report degree measures?

At present, we are able to create report degree measures solely in Energy BI Desktop when Join Stay to both a Energy BI dataset, an SSAS Tabular mannequin (on-premises), or Azure Evaluation Providers (AAS). For this weblog publish, I Join Stay to a Energy BI dataset. Open Energy BI Desktop first and observe these steps.

1. Click on the Knowledge hub dropdown button from the House tab
2. Click on the Energy BI datasets
3. Choose the specified dataset
4. Click on Join

5. Proper-click the desk that you just’d prefer to host the report degree measure and choose New measure

6. Sort your DAX expressions as typical 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 simply accessible within the present report and never on the dataset degree and that’s the reason one of these measure is the so-called Report Stage Measure. All different measures are dataset degree measures, due to this fact, they’re accessible on the present report and another skinny reviews we create sooner or later on prime of the identical dataset.

We are able to now use the Avg Unit Value as typical in our information visualisation.

As maybe have observed already, we are able to additionally create report degree measures utilizing the Fast Measures functionality.

As a facet be aware, you too can 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 Stage Measures? I’d like to know your ideas, so be happy to depart your feedback beneath.