The earlier publish defined what Skinny studies are, why we must always care and the way we are able to create them. This publish focuses on a extra particular subject, Report Degree Measures. We talk about what report-level measures are, when and why we’d like 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 throughout the internet hosting Skinny Report solely which implies the report degree measures will not be written again to the underlying dataset and therefore they don’t seem to be accessible to every other studies.
Why and when do we’d like report degree measures?
It’s a widespread scenario in real-world eventualities 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 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 underneath the pump to ship another functionalities which including a brand new measure is just not even of their venture supply plan. It’s maybe too late if we look ahead to 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 can we create report degree measures?
At the moment, we are able to create report degree measures solely in Energy BI Desktop when Join Reside to both a Energy BI dataset, an SSAS Tabular mannequin (on-premises), or Azure Evaluation Companies (AAS). For this weblog publish, I Join Reside to a Energy BI dataset. Open Energy BI Desktop first and observe these steps.
- Click on the Knowledge hub dropdown button from the Residence tab
- Click on the Energy BI datasets
- Choose the specified dataset
- Click on Join
- Proper-click the desk that you simply’d wish to host the report degree measure and choose New measure
- Kind your DAX expressions as normal and press enter
A brand new measure (Avg Unit Worth) 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 Degree Measure. All different measures are dataset degree measures, subsequently, they’re accessible on the present report and every other skinny studies we create sooner or later on prime of the identical dataset.
We are able to now use the Avg Unit Worth as normal in our knowledge visualisation.
As maybe have observed already, we are able to additionally create report degree measures utilizing the Fast Measures functionality.
As a aspect notice, you may also see the underlying knowledge 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 might like to know your ideas, so be happy to go away your feedback under.
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