The earlier put up defined what Skinny experiences are, why we should always care and the way we are able to create them. This put up focuses on a extra particular matter, 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 recommend you try my earlier weblog put up 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 suggests the report degree measures usually are not written again to the underlying dataset and therefore they aren’t out there to some other experiences.
Why and when do we’d like report degree measures?
It’s a widespread state of affairs in real-world situations when the enterprise requires a report urgently, however the nuts and bolts of the report usually are not 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 beneath the pump to ship another functionalities which including a brand new measure shouldn’t be even of their challenge supply plan. It’s maybe too late if we look forward to the builders to plan for creating the required measure, undergo the discharge course of, and make it out there 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 Reside to both a Energy BI dataset, an SSAS Tabular mannequin (on-premises), or Azure Evaluation Companies (AAS). For this weblog put up, I Join Reside 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 normal 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 barely out there within the present report and never on the dataset degree and that’s the reason any such measure is the so-called Report Degree Measure. All different measures are dataset degree measures, subsequently, they’re out there on the present report and some other skinny experiences we create sooner or later on prime of the identical dataset.
We are able to now use the Avg Unit Value as normal 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 word, you may as well 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 go away your feedback beneath.
